Principal Engineering Architect

# Principal Engineering ArchitectNew YorkApply for this job
* Permanent
* Experienced Professionals
* Architecture
* ID 566917-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 ResponsibilitiesWe 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 (LangChain, LangGraph, 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, TypeScript), 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, LangGraph/LangChain 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., LangGraph 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, roadmapping, 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 resolve the trade-offThe base compensation range for this role in the posted location is 160650
- 201495Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.**Capgemini offers a comprehensive