Senior AI Technical Architect (AI-DLC / Agentic AI)

We are looking for a highly experienced Senior AI Technical Architect to lead the transformation of traditional software development practices into an AI-Driven Development Lifecycle (AI-DLC) . This role requires a hands-on technical leader with proven experience in architecting and implementing AI-enabled engineering ecosystems, including AI services, agentic AI systems, intelligent automation, and AI-powered SDLC/DevOps/QA processes.

The ideal candidate should have prior experience implementing AI from a technical standpoint, driving architecture decisions, selecting AI platforms and frameworks, building AI agents, and enabling engineering teams to leverage AI across development, testing, deployment, and operations.

Key Responsibilities:

• Design and implement an end-to-end AI-DLC (AI-Driven Development Lifecycle) framework across software engineering functions.
• Architect and deploy AI-powered solutions for software development, QA automation, testing, code generation, deployment, and monitoring.
• Design and build AI agents and Agentic AI systems for engineering workflows, automation, and intelligent decision-making.
• Evaluate, implement, and integrate LLMs, AI orchestration frameworks, vector databases, and AI services into enterprise systems.
• Define the technical architecture for AI-first software engineering ecosystems , ensuring scalability, security, and governance.
• Implement AI-based solutions for:
• Intelligent code generation and code review
• AI-assisted software testing and QA automation
• Deployment automation and DevOps optimization
• Incident detection, monitoring, and predictive maintenance
• Engineering productivity enhancement
• Work closely with engineering, product, DevOps, and leadership teams to define AI adoption strategies and implementation roadmaps.
• Establish best practices around MLOps, LLMOps, model governance, prompt engineering, and AI observability .
• Lead technical PoCs, evaluate AI tools/vendors, and recommend scalable enterprise-grade solutions.
• Mentor technical teams and enable organization-wide adoption of AI engineering practices.

Required Skills & Experience:

• 10+ years of experience in Software Architecture, Engineering, or Enterprise Technology Leadership .
• Proven hands-on experience implementing AI-DLC / AI-enabled SDLC transformation from a technical perspective.
• Strong experience building and deploying AI Agents / Agentic AI systems .
• Deep understanding of Generative AI, LLMs, Multi-Agent Systems, and AI orchestration frameworks .
• Experience with frameworks/tools such as:
• LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, LlamaIndex
• OpenAI, Anthropic, Azure AI, AWS Bedrock, Google Vertex AI
• Vector Databases (Pinecone, Weaviate, Chroma, FAISS)
• Strong experience in Cloud Architecture (AWS, Azure, GCP).
• Experience integrating AI into:
• CI/CD pipelines
• DevOps and QA frameworks
• Engineering productivity workflows
• Knowledge of MLOps, LLMOps, Prompt Engineering, RAG architectures, and AI governance .
• Strong understanding of enterprise architecture, APIs, microservices, and scalable distributed systems.

Preferred Qualifications:

• Experience implementing AI transformation within enterprise engineering teams.
• Exposure to AI-driven testing, autonomous engineering workflows, and intelligent DevOps.
• Prior consulting or transformation leadership experience is highly preferred.
• Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field.