AI Technical Delivery Lead
Location: Bengaluru, Chennai, Gurugram, Hyderabad, Kolkata, Mumbai, Nagpur, Noida, Pune
• Experience: Senior Level
• Openings: 1
Job description
Job Title: AI Technical Delivery Lead
Job Location: Pan India
Work Model: Hybrid
Candidate Expectations:
Should have 12+ years of
Experience in end-to-end technical delivery.
Drive/knowledge the
implementation of Agentic AI frameworks and technologies.
Skills – Mandatory:
Skills – Mandatory:
Lead the end-to-end technical
delivery of Agentic AI solutions.
Agentic AI Leadership - Enterprise Agent Architecture Design, Multi-Agent Systems & Orchestration, Agent Workflow Design and Automation, Tool Calling & Function Integration, Agent Communication and Coordination Frameworks
GenAI & LLM Strategy - Large Language Models (GPT, Claude, Gemini, Llama), Prompt Engineering & Prompt Governance, Retrieval Augmented Generation (RAG), Vector Databases (Pinecone, Weaviate, Azure AI Search, Chroma), Responsible AI, Security & Compliance Frameworks
Delivery Governance - AI Solution Architecture Reviews, Technical Delivery Governance, Code Quality & Best Practices, Agile Delivery & Sprint Management, Risk, Dependency & Issue Management
Cloud & Platform Architecture - Azure, AWS, and GCP Cloud Platforms, Microservices & Distributed Architecture, Containerization (Docker, Kubernetes), API Management & Integration, CI/CD and DevSecOps Practices for AI Solutions
Stakeholder & Program Leadership - Executive Client Engagement, Strategic Roadmap Development, Business-to-Technology Translation, Escalation & Risk Management, Program Governance and Delivery Reporting.
Agentic AI Leadership - Enterprise Agent Architecture Design, Multi-Agent Systems & Orchestration, Agent Workflow Design and Automation, Tool Calling & Function Integration, Agent Communication and Coordination Frameworks
GenAI & LLM Strategy - Large Language Models (GPT, Claude, Gemini, Llama), Prompt Engineering & Prompt Governance, Retrieval Augmented Generation (RAG), Vector Databases (Pinecone, Weaviate, Azure AI Search, Chroma), Responsible AI, Security & Compliance Frameworks
Delivery Governance - AI Solution Architecture Reviews, Technical Delivery Governance, Code Quality & Best Practices, Agile Delivery & Sprint Management, Risk, Dependency & Issue Management
Cloud & Platform Architecture - Azure, AWS, and GCP Cloud Platforms, Microservices & Distributed Architecture, Containerization (Docker, Kubernetes), API Management & Integration, CI/CD and DevSecOps Practices for AI Solutions
Stakeholder & Program Leadership - Executive Client Engagement, Strategic Roadmap Development, Business-to-Technology Translation, Escalation & Risk Management, Program Governance and Delivery Reporting.
Education and
Certification: BE/BTech/MTech/MCA
Detailed Job Description
Define and drive the overall
delivery strategy for enterprise Agentic AI and Gen AI programs.
Provide executive-level technical oversight across AI solution design, delivery governance, cloud architecture, and implementation quality.
Set direction for agent architecture, orchestration strategy, multi-agent coordination, LLM strategy, RAG architecture, and Responsible AI guardrails.
Govern delivery across multiple workstreams, ensuring architecture compliance, risk management, delivery quality, and business outcome alignment.
Partner with senior client stakeholders to manage strategic discussions, escalations, roadmap alignment, and transformation outcomes.
Provide executive-level technical oversight across AI solution design, delivery governance, cloud architecture, and implementation quality.
Set direction for agent architecture, orchestration strategy, multi-agent coordination, LLM strategy, RAG architecture, and Responsible AI guardrails.
Govern delivery across multiple workstreams, ensuring architecture compliance, risk management, delivery quality, and business outcome alignment.
Partner with senior client stakeholders to manage strategic discussions, escalations, roadmap alignment, and transformation outcomes.
Guide leadership teams on
cloud AI strategy across AWS, Azure, or GCP, including DevSecOps, CI/CD,
microservices, API gateway, and production AI readiness.
Ensure delivery teams support productivity improvement objectives and scalable AI delivery models.
Ensure delivery teams support productivity improvement objectives and scalable AI delivery models.