AI Architecture & Leadership Manager

Job Description: AI Architecture & Leadership Manager

Job Title: AI Architecture & Leadership Manager
Experience: 10+ Years
Location: Pune / Bengaluru / Hyderabad / Mumbai
Employment Type: Full-Time

Job Summary

We are seeking an experienced AI Architecture & Leadership Manager to lead the design, implementation, and governance of enterprise-scale AI and Generative AI solutions. The ideal candidate will possess deep expertise in AI architecture, cloud-native platforms, LLM ecosystems, Agentic AI, and enterprise application integration while leading multidisciplinary teams to deliver innovative business solutions.

The role requires a blend of technical leadership, solution architecture, stakeholder management, and AI strategy execution to drive adoption of Generative AI across the organization.

Key Responsibilities

AI Strategy & Leadership

• Define and execute the organization’s AI and Generative AI roadmap aligned with business objectives.
• Lead AI transformation initiatives and drive enterprise-wide AI adoption.
• Partner with business leaders, product owners, and executive stakeholders to identify AI opportunities and create innovation strategies.
• Build and mentor high-performing AI engineering, architecture, and data science teams.
• Establish AI governance, responsible AI practices, and risk management frameworks.

Architecture & Solution Design

• Architect enterprise-scale AI/GenAI platforms and solutions.
• Define end-to-end architectures covering data ingestion, model orchestration, RAG pipelines, vector databases, AI agents, integrations, security, and monitoring.
• Drive architecture decisions for LLM-based applications utilizing Azure OpenAI, AWS Bedrock, and other foundation model ecosystems.
• Establish AI platform standards, reusable frameworks, and enterprise best practices.
• Design scalable multi-agent and Agentic AI systems.

Delivery & Program Management

• Oversee the delivery of complex AI programs from ideation to production deployment.
• Manage architecture reviews, technical governance, and solution quality.
• Ensure AI solutions meet scalability, performance, security, and compliance standards.
• Collaborate with engineering, DevOps, MLOps, and cloud teams to enable successful deployments.
• Drive continuous improvement and innovation across AI initiatives.

Required Skills

AI & Generative AI

• Strong expertise in Generative AI, LLMs, NLP, and Transformer architectures.
• Advanced knowledge of Prompt Engineering and Model Evaluation.
• Hands-on experience with:
  • Retrieval-Augmented Generation (RAG)
  • Agentic AI Frameworks
  • LangChain
  • LangGraph
  • MCP (Model Context Protocol)
  • AI Guardrails
  • Multi-Agent Systems
  • AI Governance Frameworks

Cloud & Platform Engineering

• Extensive experience in Azure and/or AWS cloud platforms.
• Expertise in:
  • Azure OpenAI Services
  • AWS Bedrock
  • Cloud-native architectures
  • Kubernetes and Docker
  • API Management
  • Microservices Architecture
• Experience designing secure and scalable AI platforms.

Data & MLOps

• Experience with Vector Databases, Knowledge Graphs, and Semantic Search.
• Strong understanding of MLOps and AI lifecycle management.
• Experience with model monitoring, observability, and production AI operations.
• Knowledge of data engineering and enterprise integration patterns.

Leadership & Stakeholder Management

• Proven experience managing cross-functional teams and large-scale delivery programs.
• Strong client-facing and executive communication skills.
• Ability to influence architecture decisions at leadership levels.
• Experience mentoring architects, AI engineers, and technical leads.

Preferred Qualifications

• Experience delivering enterprise AI programs in Banking, Financial Services, Insurance, or other regulated industries.
• Exposure to Microsoft Copilot ecosystem and enterprise AI solutions.
• Experience with Responsible AI, AI Security, and Compliance frameworks.
• Knowledge of Blockchain, Cloud Transformation, Digital Platforms, or Enterprise Architecture frameworks is a plus.

Education

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• MBA or equivalent leadership qualification is an added advantage.