Machine Learning (ML)AI/ML Engineer
CombineHealth | Bangalore (HSR Layout) | Hybrid, 4 days/week in-office
About CombineHealth
CombineHealth builds AI employees for healthcare revenue cycle management — agents that automate medical coding, billing, eligibility checks, denial management, and appeals for hospitals and physician groups across the US. Our platform runs in production at 97%+ coding accuracy across live customers, integrated with Epic, Cerner, athenahealth, and other major EHRs.
Before You Apply — Read This First
- 4 days/week in our HSR Layout, Bangalore office. Remote or fully-hybrid-light setups won't work for this team.
- Regular overlap with US business hours. Our customers, most of our leadership, and key stakeholders are US-based. You'll need flexibility for calls and collaboration that land in US morning/afternoon (India evening/night) on a recurring basis, not occasionally.
If either of these is a dealbreaker, save yourself and us the time — this isn't the role.
What You'll Actually Do
This is an agent-engineering role. Our systems are LLM-based agents, and the hard part isn't training models — it's making autonomous, multi-step systems reliable and auditable on regulated, high-stakes data. You'll work alongside senior engineers to build and improve these agents, with growing ownership as you prove yourself. Roughly:
- Help build AI agents that read unstructured clinical and claims documentation and produce structured, auditable outputs — codes, claim decisions, denial root causes, appeal drafts
- Contribute to agent architecture under senior guidance: multi-step orchestration, tool/function calling, retrieval, and context engineering
- Write and maintain eval harnesses and regression suites with hard accuracy bars. "The eval moved" is the unit of progress here — if you can't measure whether a change helped, it didn't happen
- Support production reliability and observability: tracing, logging, latency, debugging — with a senior engineer as backup, not solo pager duty from day one
- Work with senior engineers on confidence-threshold and human-in-the-loop review logic for regulated, high-stakes data
- Collaborate with product and RCM domain experts to understand real-world payer behavior and translate it into agent requirements, with support from senior team members
- Take increasing ownership of specific agent components as you build track record, with a clear path to fuller end-to-end ownership over time
What We Need
- 2–4 years shipping production software, with hands-on exposure to LLM-based systems — agents, RAG, structured extraction. Real production exposure (even as a contributor, not sole owner) matters more than side projects or coursework.
- Solid engineering fundamentals. You write production-grade Python, not just notebooks. You understand failure paths and care about correctness.
- Working familiarity with the LLM application stack: prompt engineering, tool/function calling, retrieval, and some exposure to eval-driven development. You don't need to have designed an eval harness from scratch, but you should understand why one matters.
- Some exposure to production systems: deployment, basic observability, debugging live issues, cloud (AWS/GCP/Azure). You're not expected to own infra, but you should be comfortable being in the room when things break.
- Experience with unstructured/messy real-world text is a plus — legal, financial services, insurance, healthcare, or similar domains.
- Ability to work with reasonable independence on well-scoped tasks, while knowing when to flag ambiguity to a senior engineer rather than guessing.
- Comfortable in a fast-moving startup environment: ambiguity, shifting priorities, and a willingness to learn on systems that don't have a textbook answer yet.
- Degree from a Tier-1 engineering institute (IIT/IISc or equivalent) is a plus, but we care far more about what you've built than where you studied.
Nice to Have (Not Required)
- Exposure to healthcare claims, medical coding (CPT/ICD-10/HCPCS), or RCM workflows
- Any exposure to a regulated data environment (HIPAA, SOC 2, or similar)
- Coursework or side projects involving fine-tuning, distillation, or smaller task-specific models
What Success Looks Like in 6 Months
- You've taken ownership of a well-defined component of a production agent, with senior support available
- You've meaningfully contributed to improving an accuracy, latency, or automation-rate metric on a live customer workflow
- You can debug a production issue in your area with minimal hand-holding, and know when to escalate
- You've built enough context to start taking on larger, less-scoped pieces of agent ownership
How to Apply
Please click on the link and fill in the details: https://forms.gle/dcNhnkaxUraatt8y5
Shubham Vishwakarma
Full Stack Developer - Averlon
About CombineHealth
About
At CombineHealth, we're building payer-aware AI agents that transform healthcare revenue cycle operations. Our AI workforce automates some of the most complex workflows across eligibility verification, medical coding, billing, denials, and appeals, enabling healthcare providers to reduce denial rates, accelerate reimbursements, and eliminate repetitive manual work. By continuously learning from every claim and payer interaction, our platform becomes smarter over time, helping healthcare organizations improve operational efficiency and maximize revenue.
We're a fast-growing, AI-native company on a mission to modernize healthcare administration through intelligent automation. Backed by leading investors, we work closely with hospitals and physician groups to deploy explainable, production-ready AI agents that integrate seamlessly into existing workflows. At CombineHealth, we're redefining how healthcare providers manage revenue operations—freeing teams to focus more on delivering exceptional patient care while our AI handles the administrative complexity.
Company social profiles
Similar jobs
PythonLocation: Jaipur (Work From Office)
Employment Type: Full-Time
We're looking for a GenAI Engineer (LLM Engineer) to build scalable AI-powered SaaS applications using Large Language Models (LLMs). You'll develop intelligent AI workflows, integrate LLMs into production systems, and build secure, high-performance AI solutions.
Key Responsibilities
- Integrate LLM APIs (OpenAI, Claude, Hugging Face) into production applications.
- Design and optimize RAG pipelines and prompt engineering workflows.
- Build and manage Vector Databases (Pinecone, Weaviate, pgvector).
- Optimize AI performance, latency, and operational cost.
- Ensure secure, scalable AI architecture.
- Collaborate with Product and Engineering teams to deliver AI-powered features.
Requirements
- 3+ years of backend development using Python, Go, or Node.js.
- Hands-on experience with LLMs, LangChain or LlamaIndex.
- Strong understanding of RAG, Prompt Engineering, and Vector Databases.
- Experience with AWS, GCP, or Azure.
- Knowledge of APIs, Microservices, and AI application development.
Preferred: Experience in SaaS/FinTech, LLMOps, or Model Fine-tuning.
Education: B.Tech, BCA, or equivalent technical qualification.
Apply Now
Application Form: https://zfrmz.com/pAKb2ynfomIsuNwRfRbV?utm_source=cutshort
Machine Learning (ML)Job Title: AI Full Stack Developer
Experience: 4–6 Years
Location: Mumbai / Bengaluru
Job Description:
We are hiring an AI-focused Full Stack Developer with strong experience in Python, React/Next.js, and cloud platforms. The role involves working on LLM integrations (OpenAI/Anthropic), prompt engineering, and building AI-driven workflows such as RAG and agent-based systems. Candidates should have hands-on experience with AWS (Lambda, S3, DynamoDB), API integrations, and end-to-end development. Exposure to async processing (Celery/Redis) and modern frontend frameworks is a plus.
Skills Required: Python, React/Next.js, AWS, APIs, LLMs
Apply: Share your resume or connect with us.
Angular (2+)
NodeJS (Node.js)Full-Stack Developer – Angular / Node.js / MySQL
Full-Time · Remote · Experience: 2–5 Years
About AtDrive Group
AtDrive Group is a technology solutions company that endeavours to deliver robust, scalable and secure software solutions with exquisite design and architecture, enforcing the best practices — no matter what your business is. We provide end-to-end digital transformation services across cloud computing, SaaS, mobile, web, e-commerce, and enterprise integration — serving clients from SMEs to Fortune 2000 companies across India, the Caribbean, and globally.
Website: atdrive.com ·
About the Role
We are looking for a capable, self-driven Full-Stack Developer who can own both the front-end and back-end of web applications. You will work across the complete stack — building Angular-powered interfaces, developing scalable Node.js services, designing and managing MySQL databases, and creating robust APIs that tie it all together.
Strong technical ability is essential, but so is communication. You will collaborate with clients and cross-functional team members, which means you need to express technical concepts clearly, surface blockers proactively, and deliver without hand-holding. Our evaluation process is designed to test both.
Key Responsibilities
Front-End Development
- Design and develop dynamic, responsive, and performant Angular applications
- Build reusable components, services, and modules following Angular best practices
- Implement clean, accessible UI/UX across web and device types using HTML5, CSS3, and SCSS
- Integrate front-end applications with back-end APIs and real-time data sources
Back-End Development & API
- Develop scalable, secure, and maintainable server-side applications using Node.js
- Design, build, and maintain RESTful APIs — including versioning, authentication, error handling, and documentation
- Integrate third-party APIs and external services into the application layer
- Implement back-end business logic, middleware, and service layers
Database – MySQL
- Design and manage MySQL database schemas, tables, relationships, and indexing strategies
- Write optimised SQL queries, stored procedures, and handle migrations
- Perform back-end data validation and ensure data integrity across the application
- Diagnose and resolve database performance bottlenecks
Full-Stack Ownership
- Work across the full development lifecycle — from requirement analysis and architecture through to deployment and ongoing support
- Conduct real-time testing during development to validate quality at every stage before handoff
- Participate in code reviews and contribute to improving codebase standards
- Debug and resolve issues independently across the full stack with minimal escalation
Required Technical Skills
Front-End
- Strong expertise in Angular (v12+ preferred) — components, services, reactive forms, routing, state management, and Angular CLI
- Proficiency in TypeScript and modern JavaScript (ES6+)
- Solid command of HTML5, CSS3, SCSS, Bootstrap — responsive and cross-browser development
- Experience with RxJS for reactive and asynchronous programming patterns
- Familiarity with AJAX and JSON-based client-server communication
Back-End & API
- Hands-on experience with Node.js — Express.js or equivalent framework
- RESTful API design and implementation — authentication (JWT / OAuth), input validation, rate limiting, error handling
- Experience integrating third-party APIs and webhooks
- Understanding of asynchronous programming, event loops, and performance optimisation in Node.js
Database
- Strong proficiency in MySQL — schema design, query optimisation, indexing, and stored procedures
- Experience with an ORM such as Sequelize or equivalent
- Ability to handle data migrations and version-controlled database changes
Engineering Practices
- Version control via Git — branching, pull requests, and collaborative workflows
- Understanding of MVC / layered architecture patterns
- Experience with Agile / Scrum development methodologies
- Familiarity with deployment pipelines and basic DevOps concepts is a plus
AI-Tool Fluency (Required)
AtDrive operates at the cutting edge of modern software delivery. All team members are expected to actively leverage AI-powered tools as a core part of their daily workflow.
- Proficiency with AI coding assistants such as Claude (Anthropic), GitHub Copilot, OpenAI Codex, or equivalent platforms
- Ability to use AI tools to accelerate full-stack development, generate boilerplate, write tests, and debug across Angular, Node.js, and MySQL
- Comfortable prompting, evaluating, and critically iterating on AI-generated code
- Awareness of the limitations and responsible use of AI in a professional software environment
- Willingness to continuously upskill as AI tooling evolves
Communication Requirements
Strong communication is non-negotiable. You will interact directly with clients and cross-functional team members. We expect:
- Clear, professional written and spoken English
- Ability to explain technical concepts and trade-offs to non-technical stakeholders
- Proactive communication — surface blockers, clarify ambiguities, and provide status updates without being prompted
- Comfortable participating in client calls and written correspondence independently
Evaluation Process
Our evaluation process is rigorous and multi-stage, assessing real-world full-stack capability — not just the ability to recite answers.
- Stage 1 — Technical Assessment: Timed coding challenge covering Angular, Node.js, MySQL, and API design
- Stage 2 — Communication Round: Assessed on clarity, articulation, and ability to discuss technical decisions
- Stage 3 — Live Technical Interview: Architecture discussion, code walkthrough, and full-stack problem-solving under observation
- Stage 4 — AI Tool Proficiency: Practical demonstration of AI-assisted development across the stack
Candidates who perform well technically but demonstrate weak communication or low AI-tool familiarity will not be progressed.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related engineering field
- 2–5 years of professional full-stack development experience — Angular, Node.js, and MySQL are all required, not optional
- Portfolio of shipped full-stack projects strongly preferred — links to repositories or live applications welcome
Why AtDrive?
- Work with a globally recognised technology company serving clients from SMEs to Fortune 2000 companies
- Build across the complete stack on real, commercially delivered projects
- Collaborate with diverse, passionate teams driven by a culture of excellence and continuous improvement
- Competitive compensation and genuine career advancement opportunities
- Be part of a company whose tagline isn't just words — Inspired by Perfection
Machine Learning (ML)NodeJS (Node.js)Job Title: AI Developer/Engineer
Location: Remote
Employment Type: Full-time
About the Organization
We are a cutting-edge AI-powered startup that is revolutionizing data management and content generation. Our platform harnesses the power of generative AI and natural language processing to turn unstructured data into actionable insights, providing businesses with real-time, intelligent content and driving operational efficiency. As we scale, we are looking for an experienced lead architect to help design and build our next-generation AI-driven solutions.
About the Role
We are seeking an AI Developer to design, fine-tune, and deploy advanced Large Language Models (LLMs) and AI agents across healthcare and SMB workflows. You will work with cutting-edge technologies—OpenAI, Claude, LLaMA, Gemini, Grok—building robust pipelines and scalable solutions that directly impact real-world hospital use cases such as risk calculators, clinical protocol optimization, and intelligent decision support.
Key Responsibilities
- Build, fine-tune, and customize LLMs and AI agents for production-grade workflows
- Leverage Node.js for backend development and integration with various cloud services.
- Use AI tools and AI prompts to develop automated processes that enhance data management and client offerings
- Drive the evolution of deployment methodologies, ensuring that AI systems are continuously optimized, tested, and delivered in production-ready environments.
- Stay up-to-date with emerging AI technologies, cloud platforms, and development methodologies to continually evolve the platform’s capabilities.
- Integrate and manage vector databases such as FAISS and Pinecone.
- Ensure scalability, performance, and compliance in all deployed AI systems.
Required Qualifications
- 2–3 years of hands-on experience in AI/ML development or full-stack AI integration.
- Proven expertise in building Generative AI models and AI-powered applications, especially in a cloud environment.
- Strong experience with multi-cloud infrastructure and platforms,
- Proficiency with Node.js and modern backend frameworks for developing scalable solutions.
- In-depth understanding of AI prompts, natural language processing, and agent-based systems for enhancing decision-making processes.
- Familiarity with AI tools for model training, data processing, and real-time inference tasks.
- Experience working with hybrid cloud solutions, including private and public cloud integration for AI workloads.
- Strong problem-solving skills and a passion for innovation in AI and cloud technologies
- Agile delivery mythology knowledge.
- CI/CD pipeline deployment with JIRA and GitHub knowledge for code deployment
- Strong experience with LLMs, prompt engineering, and fine-tuning.
- Knowledge of vector databases (FAISS, Pinecone, Milvus, or similar).
Nice to Have
- Experience in healthcare AI, digital health, or clinical applications.
- Exposure to multi-agent AI frameworks.
What We Offer
- Flexible working hours.
- Collaborative, innovation-driven work culture.
- Growth opportunities in a rapidly evolving AI-first environment.
Python
React.js
NextJs (Next.js)About Marseer AI
Marseer AI (www.marseerai.com) is a Seattle-based company building an AI-powered marketing intelligence platform for DTC and retail e-commerce brands. The platform combines brand strategy, customer data, automation, and generative AI to help marketing teams drive consistent, data-driven engagement across email, SMS, paid media, SEO, and affiliate channels.
Role Overview
We are looking for an experienced AI Engineer - Full Stack Developer to join the Marseer platform team. This is a dual-track role: you will build and maintain AI agent pipelines, LLM integrations, and RAG-based intelligence systems on the backend, while also owning frontend interfaces that surface insights, recommendations, and campaign outputs to marketing teams and brand operators.
You should be equally comfortable designing multi-step agentic workflows in Python and building clean, responsive product interfaces in React/Next.js. You understand how LLMs behave in production, know how to engineer prompts and tool chains for reliability, and care deeply about the end-to-end user experience.
What You Will Do
- Design and implement multi-step AI agent workflows using LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar.
- Build and maintain RAG pipelines, including chunking strategies, embedding generation, vector store management, and retrieval tuning.
- Integrate with LLM providers such as OpenAI, Anthropic, or others, including prompt engineering, tool/function calling, structured output generation, and context window management.
- Develop AI-driven features such as campaign brief generation, audience recommendations, content variant creation, and performance insight summarization.
- Implement evaluation and observability frameworks to monitor LLM output quality, latency, and cost in production.
- Build frontend interfaces using React and Next.js, including dashboards, agent interaction UIs, campaign builders, and insight surfaces.
- Design and implement RESTful and/or GraphQL APIs in Python (FastAPI or Flask) or Node.js to serve AI outputs to the frontend.
- Integrate frontend with backend AI services, streaming LLM responses, and real-time status updates.
- Work with structured and unstructured marketing data, campaign performance metrics, audience segments, content libraries, and brand strategy documents.
- Integrate with marketing platforms and data sources such as Klaviyo, Google Ads, Meta, and Shopify.
Requirements
- 5-10 years of professional software engineering experience, with meaningful time in both backend and frontend development.
- Proven experience building and deploying LLM-powered applications in production, not just prototypes.
- Strong proficiency in Python for backend and AI development.
- Strong proficiency in React and Next.js for frontend development.
- Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or equivalent.
- Experience building RAG pipelines, vector stores such as Pinecone, Weaviate, pgvector, or similar, embedding models, and retrieval strategies.
- Experience with API design, REST or GraphQL, and backend service architecture.
Strongly Preferred
- Experience designing and building multi-agent or agentic AI systems with tool use, memory, and planning capabilities.
- Familiarity with prompt engineering best practices, structured output generation, and LLM evaluation methodologies.
- Experience with streaming LLM responses and real-time UI updates using SSE or WebSockets.
- Prior work in a SaaS product company shipping production features.
- Familiarity with marketing platforms, e-commerce data, or martech ecosystems.
Good to Have
- TypeScript and modern frontend tooling such as Tailwind CSS or shadcn/ui.
- Familiarity with Snowflake or other cloud data warehouses as data sources for AI pipelines.
- Experience with observability tools for LLM applications such as LangSmith, Helicone, Arize, or similar.
- Understanding of marketing concepts such as segmentation, campaign lifecycle, attribution, and content personalization.
What We Are Looking For
- Availability to work US business hours; overlap with US Eastern or Pacific timezone is required for client collaboration and team standups.
- Strong written and verbal English communication.
- Product sense and ownership mindset.
- Comfort with ambiguity in non-deterministic LLM-powered systems.
- Collaborative working style across engineering, design, and client-facing functions.
What We Offer
- Competitive compensation based on experience.
- Fully remote role; work from anywhere in India, with Hyderabad-based candidates preferred.
- High-impact work at the frontier of applied AI for marketing and e-commerce.
- Direct exposure to real brand problems, real data, and real production AI systems.
- A small, senior team where your architecture decisions matter and your contributions are visible.
NodeJS (Node.js)About CoPoint AI
CoPoint AI is a specialized consulting firm focused on transforming businesses through process improvement, data insights, and technology-driven innovation. We leverage AI technologies, Microsoft cloud platforms, and modern web development frameworks to deliver intelligent, scalable solutions that drive measurable impact for our clients. Our team partners across industries to design and deploy solutions that streamline operations, enhance customer experiences, and enable data-driven growth.
Our Vision
We transform businesses through process improvement and data insights leveraging AI on the Microsoft stack
Our Values
- Be Purposeful: Think Straight, Communicate, Always Do The Right Thing
- In Partnership: With our Team, For our Clients, In our communities.
- Create Impact: Deliver value-based solution, help Individual achieve their dream, demand profitable growth.
Role Overview
As a Senior Consultant at CoPoint AI, you will drive end-to-end delivery of both AI-enabled data solutions and modern web applications. You will blend technical expertise in AI, Microsoft platforms, and full-stack web development with business insight to architect and implement impactful solutions across client environments.
Key Responsibilities
- Lead design and implementation of end-to-end data, AI, and web application solutions
- Architect and build responsive, user-friendly web interfaces integrated with enterprise data systems
- Develop and optimize secure, scalable APIs and microservices using cloud-native principles
- Implement AI-powered features in web applications using LLMs, Azure OpenAI, and Cognitive Services
- Guide teams in AI-assisted software development lifecycle improvements
- Build frameworks for responsible AI governance and model monitoring
- Comprehensive understanding of the AI solution landscape
- Leadership experience in AI-enabled digital transformation initiatives
- Expertise in AI adoption strategies and change management
- Ability to translate AI capabilities into measurable business value
- Design multi-model architectures combining analytics, AI, and web experiences
- Act as a subject matter expert in Microsoft Azure and modern web frameworks (e.g., React, Angular, .NET Core)
- Manage project work streams and lead cross-functional delivery teams
- Cultivate and manage client relationships, providing strategic and technical guidance
- Identify and propose innovation opportunities through data and digital experiences
- Mentor junior developers, analysts, and consultants
- Ensure high quality and consistency in solution delivery and user experience
Qualifications
- Deep expertise in Microsoft data technologies (Azure Data Factory, Synapse, Power BI).
- Proven experience implementing enterprise AI solutions on Azure
- Advanced knowledge of large language models and their business applications
- Expertise in AI-enhanced software development methodologies
- Experience with AI model evaluation, validation, and responsible deployment
- Proficiency in developing custom AI solutions using Azure OpenAI, Cognitive Services, and ML services
- Experience integrating AI into existing enterprise applications and data platforms
- Experience managing client expectations and delivering high-quality solutions
- Strong technical leadership and problem-solving capabilities
- Excellent communication and presentation skills
- Ability to anticipate client needs and propose strategic solutions
What should You expect:
- A culture of continuous learning with certification support.
- Clear career advancement pathways.
- Competitive compensation and benefits.
- Flexible work arrangements.
- A collaborative environment that values innovation and creativity.
Ready to shape the future of enterprise technology? Join our team of Microsoft technology experts and make an impact.
Amazon Web Services (AWS)
DockerJob Title: SRE Lead Engineer
Location: Hyderabad, India
Company: Client of Options Executive Search, AI Saas Product Development Company
We are seeking a DevOps / SRE Lead Engineer to architect and scale our client's multi-tenant SaaS platform with AI/ML at the core..
Our client, a fast-growing AI-powered SaaS company in the FinTech space, is looking for a Site Reliability Engineering (SRE) Lead Engineer to join their dynamic team. This is an opportunity to design and operate large-scale SaaS systems that integrate cutting-edge AI/ML capabilities.
About the Role
As the SRE Lead Engineer, you will be responsible for architecting, building, and maintaining infrastructure that powers a multi-tenant SaaS platform. You’ll drive reliability, scalability, and security, while supporting AI/ML pipelines in production. This is a hands-on role with significant ownership, requiring both technical depth and leadership in site reliability practices.
Key Responsibilities
- Architect, design, and deploy end-to-end infrastructure for large-scale, microservices-based SaaS platforms.
- Ensure system reliability, scalability, and security for AI/ML model integrations and data pipelines.
- Automate environment provisioning and management using Terraform in AWS (EKS-focused).
- Implement full-stack observability across applications, networks, and operating systems.
- Lead incident management and participate in 24/7 on-call rotation.
- Optimize SaaS reliability while enabling REST APIs, SSO integrations (Okta/Auth0), and cloud data services (RDS/MySQL, Elasticsearch).
- Define and maintain backup and disaster recovery for critical workloads.
Required Skills & Experience
- 8+ years in SRE/DevOps roles, managing enterprise SaaS applications in production.
- Minimum 1 year experience with AI/ML infrastructure or model-serving environments.
- Strong expertise in AWS cloud, particularly EKS, container orchestration, and Kubernetes.
- Hands-on experience with Infrastructure as Code (Terraform), Docker, and scripting (Python, Bash).
- Solid Linux OS and networking fundamentals.
- Experience in monitoring and observability with ELK, CloudWatch, or similar tools.
- Strong track record with microservices, REST APIs, SSO, and cloud databases.
Nice-to-Have Skills
- Experience with MLOps and AI/ML pipeline observability.
- Cost optimization and security hardening in multi-tenant SaaS.
- Prior exposure to FinTech or enterprise finance solutions.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related discipline.
- AWS Certified Solutions Architect (strongly preferred).
- Experience in early-stage or high-growth startups is an advantage.
Why Join?
- Be at the forefront of AI/ML-powered SaaS innovation in FinTech.
- Work with a high-energy, entrepreneurial team building next-gen infrastructure.
- Take ownership of mission-critical reliability challenges.
- Grow your career in an environment that values impact, adaptability, and innovation.
If you’re passionate about building secure, scalable, and intelligent platforms, we’d love to hear from you. Apply now to be part of our client’s journey in redefining enterprise finance operations.
Machine Learning (ML)Job Summary:
We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.
Responsibilities:
AI Strategy Development:
- Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
- Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.
Solution Design:
- Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
- Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
- Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.
Data Management:
- Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
- Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.
AI Model Development:
- Lead the development and deployment of AI and machine learning models.
- Implement best practices for model training, testing, and validation.
- Monitor and optimize model performance to ensure accuracy and efficiency.
Microservices Architecture:
- Define and implement microservices architecture patterns and best practices.
- Ensure that microservices are designed for scalability, flexibility, and resilience.
- Collaborate with development teams to build and deploy microservices-based applications.
Monitoring Systems:
- Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
- Implement proactive alerting and reporting mechanisms to identify and address issues promptly.
Integration and Deployment:
- Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
- Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.
Compliance and Security:
- Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
- Implement security measures to protect AI models, data, and microservices.
Stakeholder Communication:
- Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
- Translate technical concepts into non-technical language for various audiences.
Research and Innovation:
- Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
- Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.
Requirements:
- Bachelor's or Masters degree in computer science, Data Science, or a related field.
- Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
- Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
- Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
- Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
- Excellent communication and interpersonal skills.
- Ability to lead cross-functional teams and drive innovation.
- Strong problem-solving and critical-thinking abilities.
- Knowledge of regulatory requirements and data privacy standards related to AI and microservices.
Preferred Qualifications:
- AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
- Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
- Previous experience with enterprise architecture frameworks (e.g., TOGAF).
This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.
MongoDB
Javascript
jQuery
HTML/CSSJavascriptPythonAmazon Web Services (AWS)Machine Learning (ML)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon