VDart Digital

Senior Generative AI Engineer

Employment Type: Permanent with VDart Digital

Work Location: Marathalli, Bengaluru

Job Description

We are seeking a highly skilled Senior Generative AI Engineer with strong expertise in designing, developing, and deploying enterprise-scale AI solutions using Large Language Models (LLMs) and modern Generative AI frameworks. The ideal candidate should have hands-on production experience building scalable GenAI applications, AI agents, autonomous workflows, and Retrieval-Augmented Generation (RAG) systems in cloud-native environments.

This role requires deep technical expertise in LLM orchestration, AI application architecture, prompt engineering, vector databases, MLOps, and production deployment of AI systems. Candidates should have proven experience delivering real-world AI solutions in enterprise environments with strong exposure to cloud platforms and DevOps practices.

Key Responsibilities

• Design, build, and deploy enterprise-grade Generative AI applications using Large Language Models (LLMs).
• Develop intelligent AI agents and autonomous workflows using frameworks such as LangChain, CrewAI, LangGraph, AutoGen, or similar agentic AI frameworks.
• Implement and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search technologies.
• Work extensively on prompt engineering, tool calling, memory management, agent orchestration, and multi-agent systems.
• Integrate and manage LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar foundation models.
• Develop scalable AI services and APIs using Python and FastAPI.
• Build production-ready AI solutions with high availability, scalability, monitoring, and observability.
• Deploy and manage AI applications in cloud-native environments using Docker and Kubernetes.
• Collaborate with Data Science, ML Engineering, and DevOps teams to operationalize AI solutions.
• Implement CI/CD pipelines and automated deployment processes for AI workloads.
• Monitor model performance, latency, reliability, and operational efficiency in production environments.
• Ensure AI solutions follow enterprise security, governance, and responsible AI standards.
• Evaluate and adopt emerging Generative AI tools, frameworks, and models.

Required Skills

Generative AI & LLM Expertise

• Strong hands-on experience with Generative AI and Large Language Models (LLMs).
• Production-level experience building and deploying GenAI applications.
• Expertise in LangChain, CrewAI, LangGraph, AutoGen, or similar frameworks.
• Experience with AI agents, autonomous workflows, and multi-agent architectures.
• Strong understanding of prompt engineering, embeddings, model evaluation, and LLM orchestration.
• Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar models.

RAG & Vector Databases

• Strong experience implementing RAG pipelines and semantic retrieval systems.
• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, or Milvus.
• Understanding of chunking strategies, embeddings, indexing, reranking, and retrieval optimization.

Python & AI Development

• Strong proficiency in Python.
• Experience with FastAPI for AI service and API development.
• Experience with AI/ML libraries and data processing tools such as Pandas and NumPy.

Cloud & Production Deployment

• Mandatory production experience on at least one cloud platform:
• Microsoft Azure
• Experience deploying scalable AI applications in enterprise production environments.
• Hands-on experience with Docker, Kubernetes, Jenkins, Terraform, and CI/CD pipelines.
• Strong understanding of MLOps, AI deployment lifecycle, monitoring, and observability.

Engineering & Operational Excellence

• Strong understanding of software engineering best practices.
• Experience with Git, version control, automated testing, and release management.
• Experience building secure, scalable, and high-performance AI solutions.
• Ability to troubleshoot production AI systems and optimize performance.

Preferred Skills

• Experience with AI observability and evaluation frameworks.
• Exposure to fine-tuning, PEFT, LoRA, or model optimization techniques.
• Experience with enterprise AI governance and responsible AI practices.
• Knowledge of distributed AI systems and scalable inference architectures.
• Familiarity with AI security and compliance standards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 5–8 years of overall software engineering experience.
• Minimum 5+ years of hands-on experience in Generative AI and LLM-based application development,
• Proven track record of delivering enterprise-scale AI solutions in production environments.
• Strong communication and stakeholder management skills.

Thanks & Regards,

Prithisha

We are seeking a highly experienced Azure AI, AIOps & MLOps Architect to lead enterprise-scale AI platform engineering, cloud modernization, DevSecOps transformation, and intelligent automation initiatives.

The ideal candidate should possess deep expertise in Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Kubernetes, Terraform, Azure DevOps, and enterprise observability platforms. The role will focus on designing scalable AI platforms, implementing MLOps and AIOps capabilities, enabling Agentic AI architectures, and driving cloud-native engineering practices across the organization.

Key Responsibilities

Cloud Architecture & Engineering

•     Design and implement scalable, secure, and highly available solutions on Microsoft Azure.

•     Define cloud architecture standards, reference architectures, and best practices.

•     Lead cloud migration and modernisation initiatives across enterprise workloads.

•     Implement multi-region disaster recovery and business continuity strategies.

•     Oversee Azure networking, identity, security, and governance frameworks.

DevOps & CI/CD

•     Architect and implement end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions.

•     Drive DevSecOps culture — embedding security scanning, quality gates, and compliance into the delivery pipeline.

•     Champion Infrastructure-as-Code (IaC) practices using Terraform, Bicep, or ARM templates.

•     Establish branching strategies, release management, and environment promotion standards.

•     Define and enforce platform engineering standards and internal developer tooling.

AI & Machine Learning Integration

•     Architect AI/ML solutions leveraging Azure AI services — Azure OpenAI, Azure Machine Learning, Azure AI Foundry, and Cognitive Services.

•     Design intelligent automation and agentic workflows integrated into enterprise DevOps processes.

•     Implement AI-powered capabilities such as code review assistance, anomaly detection, predictive analytics, and natural language automation.

•     Define AI governance frameworks: model evaluation, prompt management, responsible AI, and cost controls.

•     Design and implement enterprise MLOps frameworks.

•     Build automated model training, validation, deployment, and monitoring pipelines.

•     Establish model governance and lifecycle management.

Generative AI & Agentic AI

• Design enterprise GenAI solutions using Azure OpenAI.
• Build AI Agents using Azure AI Foundry.
• Develop Agent-to-Agent communication patterns.
• Implement Retrieval Augmented Generation (RAG) architectures.
• Build enterprise Knowledge Management and AI Skill Registry platforms.
• Design multi-agent orchestration frameworks.

Leadership & Stakeholder Engagement

•     Serve as the technical authority and subject matter expert for Azure AI and DevOps practices.

•     Mentor and guide junior architects, developers, and DevOps engineers.

•     Collaborate with business stakeholders, product owners, and vendors to translate requirements into technical solutions.

•     Produce architecture documentation, decision records (ADRs), and roadmaps.

•     Represent the technology function in enterprise architecture forums and governance boards.

Required Qualifications

•     Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

•     10+ years of experience in cloud engineering and architecture.

•     5+ years of hands-on experience with Microsoft Azure across compute, networking, storage, identity, and data services.

•     Proven experience designing and implementing enterprise-grade CI/CD pipelines.

•     Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM).

•     Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).

•     Deep knowledge of DevSecOps principles, tools, and practices.

•     Experience with containerisation and orchestration: Docker, Kubernetes (AKS).

•     Proficiency in scripting and development: Python, PowerShell, Bash.

•     Excellent communication and stakeholder management skills.

Preferred Qualifications

•     Microsoft Certified: Azure Solutions Architect Expert.

•     Microsoft Certified: DevOps Engineer Expert.

•     Microsoft Certified: Azure AI Engineer Associate.

•     Experience with Azure API Management (APIM), Event Grid, and Azure Functions.

•     Familiarity with Datadog, Prometheus, or equivalent observability platforms.

•     Experience in the real estate, retail, or enterprise industry sector.

•     Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).

•     Background in building Internal Developer Platforms (IDP).

Technical Skills

Domain

Technologies / Tools

Cloud Platform

Microsoft Azure (UAE North / Global)

DevOps & CI/CD

Azure DevOps, GitHub Actions, Jenkins

IaC

Terraform, Bicep, ARM Templates

AI / ML

Azure OpenAI, Azure AI Foundry, Azure ML, Cognitive Services

Containers

Docker, Kubernetes (AKS), Azure Container Apps

Identity & Security

Microsoft Entra ID, Azure Policy, Defender for Cloud

Observability

Datadog, Azure Monitor, Log Analytics, Application Insights

Databases

Azure SQL, PostgreSQL, Cosmos DB

Languages

Python, PowerShell, Bash, YAML

We are seeking a highly experienced Senior Oracle & Azure Cloud Administrator with 8+ years of hands‑on experience managing enterprise cloud environments across Oracle SaaS, PaaS, IaaS, and Azure Cloud Database Services. This role requires deep expertise in Oracle Fusion Applications, OIC, ATP, OCI infrastructure, and strong working knowledge of Azure SQL, Azure PostgreSQL, and Azure Cosmos DB.

Key Responsibilities

1. Oracle Fusion Applications (SaaS) Administration

- Lead user provisioning, role design, SoD governance

- Manage Job/Data/Duty roles, inheritance, audits

- BI Publisher administration

- Oversee environment refresh cycles

- Lead quarterly patching impact analysis

- Troubleshoot functional and security issues

2. Oracle Integration Cloud (OIC) Administration

- Manage integration deployments, schedules, lookups

- Configure REST/SOAP/FTP/Fusion/ATP adapters

- Monitor failed messages, reprocess errors

- Manage OIC security, certificates, key stores

- Collaborate with technical/functional teams

3. Oracle Autonomous Database (ATP) Administration

- Administer ATP instances, users, privileges

- Monitor performance, storage, SQL workloads

- Support connectivity with OIC and Fusion

- Assist with backup/restore validation

4. OCI Infrastructure (IaaS) Administration

- Manage compute, VMs, block volumes, OS access

- Support VCNs, subnets, routing, NSGs

- Manage OCI IAM users, groups, policies

- Use OCI Logging & Monitoring for proactive alerts

5. Azure Cloud Database Administration

- Azure SQL Database:

- Provision, configure, secure Azure SQL

- Performance tuning, indexing, query optimization

- Manage HA/DR, PITR, automated backups

- Monitor via Azure Monitor & Log Analytics

- Azure Database for PostgreSQL:

- Administer single/flexible server PostgreSQL

- Manage parameters, extensions, replication

- Optimize performance and storage

- Azure Cosmos DB:

- Manage partitioning, indexing, RU optimization

- Configure global distribution & failover

- Monitor consistency models and throughput

6. Monitoring, Support & Documentation

- L1/L2/L3 support for Oracle & Azure environments

- Monitor SaaS, OIC, ATP, Azure SQL/Postgres/Cosmos

- Maintain SOPs, runbooks, architecture diagrams

- Support audits, compliance, and security reviews

- Manage Oracle SRs and Azure support tickets

Required Skills

- 8+ years Oracle Cloud experience

- Strong Fusion security, OIC, ATP, OCI IAM

- Azure SQL, Azure PostgreSQL, Azure Cosmos DB

- SQL (Oracle + Azure SQL + PostgreSQL)

- REST/SOAP, certificates, integration patterns

Nice-to-Have

- OCI & Azure certifications

- Scripting (Shell, Python, OCI CLI, Azure CLI)

- Terraform awareness

- Production support experience

Soft Skills

- Strong communication & documentation

- Ownership mindset

- Ability to work independently

- Cross-functional collaboration

- Willingness to learn advanced cloud services

& Qualifications

·   Experience: Experience in Oracle ERP Support (Cloud/EBS) and IT Service Delivery Management.

·   Technical Knowledge: Understanding of Oracle ERP modules (e.g., Financials, HCM, SCM).

·   Leadership: Small to Medium (15-40) Team management and development skills

·   Communication: Good client-facing, negotiation, and communication skills.

Key Responsibilities:

·   Service Delivery Management: Manage end-to-end support operations, ensuring compliance with Service Level Agreements (SLAs) and Key Performance Indicators (KPIs).

·   Lead incidents, problems, and change management processes, including supporting patches and new releases. Develop service dashboards, monitor performance metrics, and ensure adherence to compliance and risk management.

·   Identify opportunities for automation and process optimization within ERP operations. 

Company Description:

VDart Digital is a global leader in digital solutions, product development, and professional services. Headquartered in Atlanta, GA, USA, the company has a robust global presence across North America, Europe, the Middle East, and Asia. VDart Digital specializes in delivering cutting-edge digital transformation solutions, leveraging technologies like AI/ML, blockchain, cloud computing, IoT, and data analytics. Its innovative product portfolio includes offerings such as TestSamurAI, LendSmartAI, IDocLens, and more, which are designed to optimize operations and drive business growth.

Role Description

• Design, build, and own enterprise-scale data platforms on Azure
• Take end-to-end accountability for architecture, data pipelines, transformation frameworks, and production readiness
• Act as a bridge between business stakeholders, data engineering, and analytics teams to deliver scalable, high-performance solutions

Key Responsibilities

• Design and implement data pipelines using Azure Data Factory (ADF), including REST API and external source integration
• Build data transformation workflows using Databricks (PySpark) for complex and nested JSON datasets
• Architect and implement Delta Lake-based platforms with fact and dimension models (star schema)
• Define and enforce best practices for data modeling, performance optimization, and cost efficiency
• Own the full data platform lifecycle: architecture, deployment, monitoring, and support
• Establish production readiness frameworks including logging, alerting, and data quality checks
• Collaborate with business and analytics teams to translate requirements into scalable solutions
• Mentor engineering teams and drive architectural governance

Required Experience & Skills

• Experience building pipelines using Azure Data Factory
• Experience integrating REST APIs using Azure Data Factory
• Experience building transformations using Databricks (PySpark)
• Experience handling complex and nested JSON datasets using PySpark
• Experience designing dimensional models (star schema)
• Experience implementing fact and dimension tables in Databricks Delta Lake
• 15–20 years of experience in enterprise data platforms, with at least 5 years in Azure data services
• Ability to bridge business, data engineering, and analytics teams
• Experience owning end-to-end production readiness including architecture, deployment, monitoring, and support

Role: Appian/Unqork Senior Solution Architect/Practice Lead

Experience: 5+ Years

Location: Trichy / Bangalore /Chennai (Post Covid)

Shift: US EST or CST

Responsibilities

• Provide pre-sales technical/functional support to prospective clients and customers with minimal supervision
• Work with sales to create and submit proposals, promote sales effort by helping customers leverage low code/no code tools for software development life cycle
• Build a solution delivery team
• Provide day-to-day guidance and technical leadership to a team of Appian/Unqork (or other low code/no code platform) Administrators, Developers, and Data Architects.
• Act as the technical lead, leading interactions with customer business and technical teams
• Work closely and collaboratively with the project team to deliver on project scope
• Works collaboratively with the Client and Team to articulate the vision and outcomes of the project and each release, and translating that vision into an actionable plan; Effectively manage customer expectations
• Develop guidance on Release Management process, working with Team and Client
• Serve as the day-to-day Technical POC for VDart team
• Plan and coordinate release logistics with other application teams and Stakeholders, identifying and accounting for dependencies
• Contribute with original, creative thinking related to solving customer issues, creating relevant features, and advancing Appain/Unqork low code/no code automation tool strategy
• Lead detailed discovery and scoping calls
• Work closely with sales to review requirements and develop value-focused proposals
• Describe the benefits and value of integrating Appian/Unqork low code/no code tools to integrate into a customers’ SDLC

Skills and Qualifications

• Bachelor (BS) of Science degree in Computer Science, Engineering, Mathematics, Business, Management or equivalent disciplines.
• Certification in Appian or Unqork
• 7+ years of IT experience, including full cycle software/web development and release management/implementation knowledge
• 4+ years' experience in a technical leadership position with prior experience supervising  and leading teams
• 2+ years' experience of successful implementations of very large Appian or Unqork solutions
• Technical leadership in implementing enterprise-class application delivery
• Experience with Agile development methodologies
• Excellent writing, presentation, negotiation and communication skills
• Strong analytical and organizational skills
• Ability to manage and prioritize multiple tasks simultaneously
• Ability to explain technical content to non-technical, business stakeholders
• Prior experience developing proposals to respond to customer needs preferred