AI and Machine Learning Solution Architect

Architect - AI/ML

Area(s) of responsibility

Architect – AI & ML / Architect GenAI – 6A

Experience: Total Experience: 10–13 years, AI-ML,GenAI Experience: 6–8 years

Technology architect responsible for designing scalable, secure, and reusable AI/GenAI architectures across multiple projects or accounts. Owns solution design decisions, defines standards, and ensures enterprise‑grade quality.

Key Responsibilities

• Architect end‑to‑end AI and GenAI solutions aligned to business outcomes
• Define reference architectures for:
  • Agentic AI systems
  • A2A orchestration
  • MCP‑based tool and context management
• Lead design of RAG, Hybrid RAG, and Graph‑augmented AI systems
• Establish enterprise LLMOps / MLOps frameworks:
  • Evaluation strategies
  • Observability
  • Cost governance
• Design security‑by‑default architectures:
  • Zero‑trust AI access
  • Data isolation and compliance
• Guide teams on model selection, fine‑tuning vs prompt‑engineering trade‑offs
• Review and approve solution designs, code patterns, and deployment architectures
• Work closely with:
  • Business stakeholders
  • Cloud architects
  • Data platform teams
• Mentor engineers and act as technical escalation point
• Contribute to Birlasoft AI accelerators, frameworks, and IP

 

Technology & Architecture Expectations

• Deep expertise in Azure AI / OpenAI ecosystem
• Strong understanding of:

• • Agent frameworks
  • MCP standardization
  • Multi‑agent orchestration

• Experience integrating structured data, graphs, and unstructured sources
• Familiarity with enterprise data platforms and governance models

 

Leadership Skills

• Technical leadership across teams
• Design authority and architectural decision‑making
• Strong communication with both technical and non‑technical stakeholders

Experience Level

Senior Level