Principal Engineering Architect

# Principal Engineering Architect New York Apply for this job
* Permanent* Experienced Professionals
* Architecture
* -en _USChoosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.##

Job Description

Key Responsibilities We are seeking an experienced Director of Engineering to lead our product engineering and AI platform organizations. In this leadership role, you will bridge technical vision, product development lifecycle (PDLC) execution, and organizational leadership-scaling distributed cloud-native platforms, steering our agentic AI roadmap (Lang Chain, Lang Graph, autonomous loops, RAG), and mentoring high-performance engineering squads.

Core Qualifications & Strategic Experience
• Leadership Track Record: 10+ years of total software engineering experience, with 4+ years leading, hiring, and scaling engineering organizations (managers, staff engineers, full-stack squads) at FAANG-tier companies or high-growth tech startups.  
• Tier 1 Academic Foundation:
Bachelor's or Master's in Computer Science or related quantitative field from a Tier 1 institution.  
• Product Partnership:
Deep, battle-tested expertise navigating the full PDLC-partnering seamlessly with Product Management, UX, and executive stakeholders to translate company strategy into high-velocity delivery roadmaps.  
• Cloud & Web Architecture:
Deep architectural grounding in enterprise API ecosystems (Python, Type Script), distributed microservices, low-latency cloud infrastructure (AWS or GCP), CI/CD automation, and observability.  
• AI Platform Strategy:
Strategic and technical proficiency in stateful multi-agent systems, loop engineering, Lang Graph/Lang Chain architectures, RAG evaluation frameworks, guardrails, and production SLA governance.

Key Responsibilities
• Organizational Leadership:
Lead, mentor, and grow engineering squads across full-stack development, cloud platform infrastructure, and applied AI systems.  
• Technical Vision:
Own the technical architecture and delivery roadmap for distributed systems and agentic AI loops, balancing velocity with resilience.  
• PDLC Execution:
Foster a culture of rapid, data-informed iteration; establish delivery KPIs, sprint cadences, and continuous deployment standards.  
• AI Strategy &

Innovation: Oversee the evolution of generative AI and agentic capabilities within core product workflows, ensuring responsible AI and robust fallback mechanisms.  
• Talent & Culture:
Champion engineering excellence, diverse hiring practices, mentorship pipelines, and high-bar code and design reviews.

Leadership Assessment Matrix (Director Level)
Focus Area Evaluation Criteria Leadership Assessment Prompt  Org Scaling & Topologies Team structure, hiring standards, technical debt vs. feature velocity How have you structured engineering teams when scaling an organization from mid-level contributors to multi-squad structures while maintaining quality  Agentic AI Architecture Loop stability, LLM observability, evals, and production SLA governance When moving agentic workflows (e.g., Lang Graph loops) from prototype to production at scale, how do you manage non-determinism, state persistence, and cost/latency SLAs  Product Partnership (PDLC) Alignment with product management, road mapping, and business trade-offs Can you share an instance where business or product demands conflicted with critical platform stability or technical debt?

How did you negotiate and…