Qualification

Engineering Graduate / Post Graduate is a must

Key Responsibilities

AI Agent Platform Architecture

- Architect scalable, production-grade AI agent frameworks for enterprise deployment
- Design agent orchestration systems supporting complex multi-agent workflows
- Implement enterprise-grade monitoring, tracing, and performance observability
- Ensure 99.9% uptime SLA across all production agents
- Optimize for cost efficiency and performance at scale

Agent Development & Productionization

- Lead development of autonomous AI agents solving high-value business problems
- Implement advanced agent capabilities (tool calling, memory, reasoning, planning)
- Productionize agent deployments with robust error handling and recovery mechanisms
- Optimize inference costs and performance at enterprise scale (1B+ tokens/month)
- Establish production readiness standards and deployment practices

Internal AI Accelerators

- Create reusable AI tools and accelerators for domain experts
- Package complex AI capabilities as low-code/no-code solutions
- Drive platform adoption across large engineering user base (8,000+ users)
- Measure and demonstrate productivity impact and business value
- Build self-service AI capabilities for non-technical users

Enterprise Integration & MLOps

- Integrate AI platform with enterprise data lakehouse and analytics layer
- Implement comprehensive MLOps pipelines (CI/CD, model registry, versioning)
- Establish cost governance and optimization frameworks
- Ensure enterprise security, compliance, and data governance standards
- Implement monitoring dashboards for cost, performance, and availability

Platform Leadership & Strategy

- Define AI agent platform roadmap and technology strategy
- Mentor junior AI engineers and establish best practices
- Collaborate with cloud vendors and technology partners
- Present platform impact and ROI to executive leadership
- Drive continuous optimization and innovation

Required Technical Expertise

MUST HAVE (Non-Negotiable)





✅ 3+ years production AI agent frameworks

(Mosaic AI, LangChain, crewAI, AutoGen, or equivalent)

✅ 2+ years enterprise LLM deployments

(GPT-4o or equivalent, 1B+ tokens/month scale)

✅ Expert Python development

(FastAPI, agent orchestration, vector databases)

✅ Production MLOps experience

(model registry, tracing, monitoring, cost optimization)

✅ Enterprise-scale system design

(high availability, fault tolerance, observability, cost controls)

DOMAIN PREFERRED

- Engineering, consulting, or technology services industry experience
- Multi-modal AI (vision, document understanding, structured data)
- Large-scale data platform integration (lakehouse, real-time analytics)
- Databricks ecosystem or Azure cloud platform experience
- Technical Tools & Stac

CORE TECHNOLOGIES:

- Python (3.8+, FastAPI, async frameworks)
- Databricks ML ecosystem (Mosaic AI, MLflow)
- Azure OpenAI or equivalent LLM APIs
- Vector databases (Pinecone, Weaviate, Qdrant, or Databricks Vector Search)

AGENT FRAMEWORKS:

- LangChain / LlamaIndex
- crewAI / AutoGen
- Custom orchestration frameworks
- RAG (Retrieval Augmented Generation) systems

MLOPS STACK:

- MLflow (model registry, experiment tracking)
- Databricks Workflows / Apache Airflow
- Monitoring: Weights & Biases, Prometheus/Grafana
- CI/CD: GitHub Actions, GitLab CI, or Jenkins

CLOUD PLATFORMS:

- Azure (Databricks, Azure OpenAI, Fabric, Entra ID)
- AWS or GCP (equivalent enterprise experience acceptable)
- Containerization: Docker, Kubernetes basics

OPTIONAL BUT VALUABLE:

- Prompt engineering / few-shot learning
- Embeddings and semantic search
- Token optimization techniques
- Cost forecasting and budget management

Business Impact & Success Metrics

Platform Impact (Owned by this role)

- Revenue Productivity: Multi-crore annual value through automation
- Engineering Efficiency: 20%+ productivity improvement across user base
- Cost Discipline: Enterprise-scale inference cost optimization
- Strategic Advantage: First-mover AI capability in domain

📌 Artificial Intelligence Engineering Lead (Navi Mumbai)
🏢 Tata Consulting Engineers
📍 Navi Mumbai