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PythonJob Summary
We are looking for an experienced AI Data Architect to design and build an enterprise AI-ready data platform that serves as the single source of truth for AI applications, including RAG, Agentic AI, Conversational AI, ML models, and analytics.
Key Responsibilities
- Design enterprise AI data platform and Lakehouse architecture.
- Build batch & real-time data pipelines.
- Develop semantic models, knowledge graphs, and vector databases.
- Architect RAG and LLMOps infrastructure.
- Implement data governance, security, and AI observability.
- Modernize legacy data platforms to cloud-native architectures.
Required Skills
- Python, SQL, PySpark
- Databricks, Delta Lake, Snowflake
- Kafka, Spark Structured Streaming
- AWS / Azure
- LangChain, LlamaIndex
- OpenAI, Claude, Bedrock
- Pinecone, FAISS, ChromaDB, Neo4j
- MLflow, Docker, Kubernetes, Terraform
- FastAPI, GitHub Actions, Jenkins
- Data Governance, RBAC, CI/CD
Requirements
- 12+ years in Data Engineering/Data Architecture.
- Experience with AI/ML, RAG, LLMOps, and enterprise AI platforms.
- Strong expertise in Lakehouse, Data Mesh, Cloud, and Vector Databases.
- Hands-on experience with enterprise-scale AI data architecture and governance.
PythonJob Summary
We are seeking an experienced Agentic AI Architect to design and build enterprise-scale Agentic AI platforms that enable autonomous, intelligent, and collaborative AI agents. The ideal candidate will drive architecture, technology strategy, and AI engineering best practices while delivering scalable, secure, and production-ready AI solutions.
Key Responsibilities
- Design enterprise architecture and technical roadmap for Agentic AI platforms.
- Build scalable multi-agent AI systems with reasoning, planning, memory, and autonomous decision-making capabilities.
- Architect solutions using LLMs, RAG, vector databases, embeddings, prompt engineering, orchestration frameworks, and agent execution engines.
- Design reusable frameworks for agent orchestration, lifecycle management, governance, observability, and monitoring.
- Integrate AI platforms with enterprise applications, APIs, databases, messaging systems, and cloud services.
- Implement AI security, governance, privacy, compliance, guardrails, and Responsible AI practices.
- Evaluate and implement frameworks such as Google ADK, LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, and MCP.
- Lead architecture reviews, technical governance, design workshops, and solution validation.
- Develop Proof of Concepts (PoCs) to evaluate emerging AI technologies.
- Mentor engineering teams and establish architecture standards and best practices.
- Collaborate with Product, AI/ML, Data Engineering, Cloud, DevOps, and Security teams.
- Drive AI platform scalability, modernization, performance optimization, and cost efficiency.
Required Skills
- Strong expertise in Agentic AI architecture and enterprise AI solution design.
- Hands-on experience with Large Language Models (GPT, Gemini, Claude, Llama, Mistral).
- Strong knowledge of RAG, Vector Databases, Embeddings, Prompt Engineering, AI Memory, Knowledge Graphs, and AI Orchestration.
- Experience with Google ADK, LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, MCP, or similar frameworks.
- Strong Python programming skills.
- Experience with FastAPI, REST APIs, Microservices, Distributed Systems, Event-Driven Architecture, Docker, Kubernetes, CI/CD, Git, and Azure/AWS/GCP.
- Knowledge of MLOps, LLMOps, AI Observability, monitoring, and production deployments.
- Strong understanding of AI Security, Governance, Responsible AI, and Enterprise Architecture.
Qualifications
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
- 10+ years of software engineering experience.
- 5–7+ years of experience designing enterprise AI/ML platforms and distributed systems.
- Proven experience architecting production-grade Agentic AI solutions.
Preferred Experience
- Domain experience in Supply Chain, Manufacturing, Retail, Healthcare, Financial Services, or Enterprise Automation.
- Experience building multi-agent collaboration systems.
- Knowledge of AI Governance and Responsible AI.
- Enterprise Architecture and Cloud Certifications are preferred.
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Egnyte store billion of files and petabytes of data and we are looking for help to take the platform used by millions of users to the next level of scale. Autonomy and ownership is integral to our culture and engineers own one or more services end to end.
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Incubyte is an AI-first software development agency built on the principles of software craftsmanship—where how we build is just as important as what we build. We partner with organizations across stages, from enterprises looking to scale and modernize to early-stage founders bringing new ideas to life.
At Incubyte, AI is deeply integrated across the software development lifecycle to drive speed, efficiency, and smarter outcomes. Guided by Software Craftsmanship values and Extreme Programming practices, we combine high velocity with disciplined engineering to deliver reliable, high-impact solutions.
We don’t just build software—we incubate dedicated engineering teams. From designing systems to shaping team structures and organizational strategy, we enable our clients to launch and scale products that are relevant today and resilient for the future.
Whether you’re scaling an existing product, building from scratch, or optimizing manual processes, we help you move faster with confidence:
- Scale and modernize your product
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- Automate processes for non-linear growth
- Build systems that are stable, predictable, and measurable
Our approach is rooted in ownership. As a DevOps-driven organization, our engineers take responsibility for the entire lifecycle—from development to release—ensuring quality at every step.
Founded by product professionals, we bring a strong product mindset into services. We’re driven by curiosity, continuous learning, and a passion for building great software the right way.
We’re always looking for people who care deeply about code, craftsmanship, and growth. Join us if you’re excited to build, learn, and make an impact.
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StepSecurity is dedicated to enhancing CI/CD security by providing solutions to prevent pipeline attacks. Founded by seasoned security professionals with experience at Microsoft, Uber, and Plaid, StepSecurity addresses the security gaps highlighted by major breaches like SolarWinds and Codecov.
Founders:
- Varun Sharma: CEO & Co-Founder, formerly at Microsoft.
- Ashish Kurmi: CTO & Co-Founder, with experience at Plaid, Uber, and Microsoft.
Advisors:
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Investors:
StepSecurity is backed by leading VCs and notable angel investors, including Anmol Malhotra (Coinbase), Ash Devata (GreyNoise), and David Cross (Rain Capital).
Funding raised: $3M - Seed Funding
For more detailed information, visit - https://www.stepsecurity.io/team
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