GenAI Architect

Key Responsibilities
Lead AI adoption initiatives by developing roadmaps aligned with client priorities, identifying high-impact use cases, and integrating AI into end-to-end delivery workflows
Design and develop production-grade LLM applications and multi-agent systems with secure enterprise integrations and governed model access
Evaluate and manage trade-offs across solution quality, latency, cost, and risk
Build client proof of concepts (PoCs), guide production deployments, troubleshoot agent behavior, review code, and establish reusable architectures and engineering standards
Design and architect Generative AI solutions tailored to enterprise requirements, ensuring scalability and reliability
Lead the integration of AI technologies within existing enterprise architecture frameworks
Drive digital transformation initiatives using Agentic AI and innovative methodologies
Develop and implement APIs to support seamless integration of AI-powered solutions across platforms
Collaborate with cross-functional teams to define and refine solution architectures
Ensure compliance with enterprise and solution architecture best practices and standards
Evaluate emerging AI technologies and incorporate relevant innovations into architectural strategies
Advise senior stakeholders, support changes in technical skills and ways of working, and lead forward-deployed engineers (FDEs) and AI specialists
Develop reusable technical assets, industry perspectives, and thought leadership
Establish responsible AI controls covering security, privacy, data residency, auditability, and human oversight in accordance with client and regulatory requirements

Required Qualifications
11+ years of experience
Bachelors Degree

Skills
LLM Application Development
Multi-Agent Systems
Model Context Protocol (MCP)
AI Gateway Implementation
Retrieval-Augmented Generation (RAG)
AI Coding Assistants and Autonomous Agents
LLMOps
Prompt Injection and Tool Misuse Defenses
Cloud AI Platforms
Model-Provider APIs
API Development
AI Architecture Design
Microsoft Azure AI Ecosystem
Java Backend Development
AI Transformation Leadership
Executive Communication
Team Leadership
AI Solution Architecture
Responsible AI Governance
Requirements Gathering
Code Review Facilitation
Proof of Concept Development
Thought Leadership
Mentoring and Coaching

Schedule
Start date: 2026-11-12