[Hiring] Lead AI Engineer @GlobalLogic

Role Description

We are looking for a Lead AI Engineer to own the technical direction, design, and long-term health of the agentic AI solutions that accelerate our software development lifecycle. This is a hands-on leadership role:

• Architect and build LLM-powered agents and internal AI tools.
• Scale them reliably and cost-effectively across an engineering organization of hundreds of people.
• Set the technical standard and proactively identify gaps.
• Challenge and improve existing solutions.
• Guide other engineers and AI champions.
• Advise on build/reuse/buy and architecture decisions.
• Be the senior technical voice peers turn to.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Machine Learning, or a related field or equivalent practical experience.
• 6-8+ years of progressive software engineering experience.
• Strong track record of designing, developing, and deploying scalable solutions in an enterprise environment.
• 2+ years of hands-on experience building agentic AI and/or LLM-based applications in production with Python.
• Strong computer science fundamentals: data structures, algorithms, system design, major cloud platforms, and distributed systems.
• Proven experience with agent frameworks such as LangGraph / LangChain (or equivalents like LlamaIndex, AutoGen or the OpenAI Agents SDK).
• Knowledge of enterprise SDLC tooling and ecosystems (e.g. GitHub Copilot, Claude Code).
• Demonstrated success building and deploying agentic AI SDLC use cases for internal use.
• The maturity and communication skills to lead technically and influence without authority.

Requirements

• Experience standing up an internal AI platform, skill marketplace, or shared tooling used by many engineering teams.
• Cost-optimization experience: model routing, prompt caching, and token-usage management at scale.
• Experience defining security, permissions, and governance models (risk tiers) for AI agents.
• Familiarity with self-hosted / open-weight models and fine-tuning where appropriate.
• Experience mentoring or enabling a community of practice or champions network.

Job Responsibilities

• Technical leadership & strategy:
  • Set the engineering standards, patterns, and guardrails for how agents are designed, built, evaluated, and operated.
  • Influence architectural discussions and make well-reasoned trade-off decisions.
  • Design and build intelligent agents that plan, reason, and take action using LLMs.
  • Implement RAG pipelines, long-term memory, action orchestration, and multi-agent collaboration.
  • Deliver agentic use cases across the full SDLC.
  • Work on complex integrations that connect APIs, models, databases, and services.
• Scale, governance and collaboration:
  • Optimize models and infrastructure for efficiency and cost-effectiveness.
  • Maintain the internal AI tools as long-lived internal products.
  • Establish observability, monitoring, and evaluation for agent operations.
  • Define and enforce guardrails, permissions, and risk controls.
  • Troubleshoot and resolve complex technical issues.
  • Work closely with engineers, domain experts, and AI champions across teams.
  • Mentor and grow the technical capability of others.

Benefits

• Empowering Projects: Contribute to groundbreaking projects that leverage cutting-edge technologies.
• Empowering Growth: Continuous learning and professional development opportunities.
• DE&I Matters: Commitment to diversity and equal opportunities for all individuals.
• Career Development: Emphasis on career development with abundant opportunities for growth.
• Comprehensive Benefits: A comprehensive benefits package prioritizing overall well-being.
• Flexible Opportunities: Work-life balance with flexible opportunities tailored to your lifestyle.

Company Description

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution, helping create some of the most innovative and widely used digital products and experiences.