Description
Department/Project Description
We are seeking a Forward-Deployed AI Product Architect to work at the intersection of core product engineering, AI orchestration, and high-impact client deployment. In this role, you will bridge the gap between our core AI platform capabilities and the highly regulated, complex workflows of our enterprise clients
Requirements
Role Summary
We are looking for an exceptional Principal AI Acceleration Architect (Forward Deployed AI Engineer) who can work directly with enterprise customers to transform software engineering using AI.
This is not a traditional Solution Architect or AI Consultant role. We are looking for someone who is equally comfortable writing production code, building autonomous AI agents, designing enterprise architectures, influencing executive stakeholders, and leading engineering transformation.
You will work alongside customer engineering and product teams to redesign the Software Development Lifecycle (SDLC) into an AI-Driven Software Development Lifecycle (AIDLC)—leveraging AI coding assistants, agentic workflows, autonomous engineering loops, and intent-driven software delivery.
The ideal candidate is a builder first, architect second, and advisor third.
Key Responsibilities
– AI-Led Software Engineering Transformation
– Partner with customer engineering, product, architecture, platform, and executive leadership to identify opportunities for AI-driven engineering acceleration.
– Assess existing SDLC maturity and define transformation roadmaps toward AI-native engineering organizations.
– Design AI-first engineering operating models covering planning, development, testing, deployment, governance, and operations.
Build Production-Ready AI Solutions
– Design, build, and deploy production-scale AI agents—not proofs of concept.
– Develop end-to-end autonomous engineering workflows using modern AI development frameworks.
– Build systems capable of generating plans, code, tests, documentation, reviews, and deployment artifacts with human governance.
– Drive Intent-Driven Software Delivery
– Help customers evolve from:
Traditional Requirements
→ User Stories
→ Sprint Planning
→ Manual Development
to
Business Intent
→ AI Planning
→ Agentic Development
→ Human Governance
→ Continuous Validation
→ Production
Champion concepts including:
– Software Defined Development (SDD)
– Intent Driven Engineering
– Agentic Software Delivery
– AI-native SDLC
– Autonomous Delivery Loops
– Customer Advisory
Work directly with:
CIOs
CTOs
Chief Architects
Engineering Leaders
Product Leaders
Present:
Architecture
Technical strategy
Transformation roadmap
Business outcomes
ROI
Adoption models
Challenge assumptions and influence executive decisions using first-principles thinking.
Define Measurable Outcomes
Scale Engineering Excellence
Help customers operationalize AI engineering by defining:
– Governance
– Security
– Human-in-the-loop controls
– AI observability
– Platform architecture
– Organizational operating model
– Engineering metrics
– Change management
Job responsibilities
Required Qualifications
Experience
– 15+ years in software engineering, architecture, product engineering, platform engineering, solution architecture, or related technical leadership roles.
– Significant hands-on experience delivering enterprise software products at scale.
– Experience working directly with enterprise customers in complex transformation engagements.
– Proven track record of building production-grade engineering platforms—not just prototypes.
– Experience working across multiple customer environments and engineering archetypes.
– AI-First Engineering Mindset
– The successful candidate should be able to independently:
– Build production-grade AI agents end-to-end.
– Design multi-agent systems.
– Build autonomous engineering workflows.
– Implement intent-driven software delivery.
– Apply AI across the complete software lifecycle.
– This role expects practical expertise—not prompt engineering.
Technical Expertise
Hands-on experience with modern AI engineering platforms including several of:
– Coding Platforms
– Claude Code
– Cursor
– OpenAI Codex
– GitHub Copilot
– Google Cloud Code
– Windsurf
– Antigravity
– Agent Frameworks
– LangChain
– AutoGen
– Semantic Kernel
– LlamaIndex
– CrewAI
– Model Context Protocol (MCP)
AI Platforms
– OpenAI
– Anthropic
– Google Gemini
– Azure AI
– AWS Bedrock
AI Engineering
– Retrieval Augmented Generation (RAG)
– Vector Databases
– Evaluation Frameworks
– Prompt Engineering
– Tool Calling
– Function Calling
– Multi-agent orchestration
– AI Observability
Leadership Expectations
We are looking for individuals who:
– Influence without authority.
– Challenge customer assumptions constructively.
– Simplify complex technical concepts.
– Drive alignment across business and engineering.
– Lead through technical credibility.
– Build trust quickly with customer teams.
Doer Mindset
This role requires builders—not reviewers.
The ideal candidate:
– Writes code every week.
– Builds working systems personally.
– Reads research papers continuously.
– Experiments with emerging AI tooling.
– Learns rapidly.
– Removes delivery blockers regardless of ownership.
– Has no ego around titles or hierarchy.
– Leads from the front.
Customer Discovery Skills
Candidates should demonstrate the ability to:
– Understand a customer’s business within 48 hours.
– Identify engineering bottlenecks rapidly.
– Connect business outcomes with technical transformation.
– Design scalable solutions aligned to customer constraints.
– Translate business intent into AI-enabled engineering systems.
Preferred Qualifications
– Experience leading AI transformation across multiple enterprise customers.
– Experience with large-scale software modernization.
– Experience building internal developer platforms.
– Experience creating reusable engineering accelerators.
– Knowledge of Responsible AI, governance, and compliance.
– Published technical blogs, conference talks, or open-source contributions in AI engineering are a plus.
– Ability to provide references from at least three enterprise customer engagements demonstrating successful delivery of production-scale AI engineering solutions.
What we offer
Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment:Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.We offer you the best quality of work life so that you exceed the expectations of our clients, while achieving your professional and personal ambitions.
Professional Development:Our dedicated Learning & Development team regularly organizes English classes, professional certifications, and technical and soft skill trainings. We also offer the chance to travel internationally
Excellent Benefits:We provide our employees with competitive salaries, family medical insurance, extended paternity leave, annual performance bonuses, and referral bonuses.
About GlobalLogic
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. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
