Director-level engineering leadership role at Capgemini in New York City: leading product engineering and AI platform organizations, scaling distributed cloud-native platforms (Python/TypeScript, AWS/GCP), steering an agentic AI roadmap (LangChain, LangGraph, RAG), and mentoring engineering squads.
Compensation
$141.5K–$203.2K / yr
Location
Not listed
Work setup
Not specified
Seniority
Principal
Employment
Full time
Experience
4+ years
Category
Architecture
Posted
Skills
accessibility
agentic-ai
ai
api
automation
aws
ci-cd
cloud
cloud-native
distributed-systems
gcp
generative-ai
langchain
langgraph
llm
microservices
observability
python
typescript
Must have
10+ years of total software engineering experience
4+ years leading, hiring, and scaling engineering organizations (managers, staff engineers, full-stack squads)
Bachelor's or Master's in Computer Science or related quantitative field from a Tier 1 institution
Deep expertise navigating the full PDLC, partnering with Product Management, UX, and executive stakeholders
Deep architectural grounding in enterprise API ecosystems (Python, TypeScript)
Distributed microservices and low-latency cloud infrastructure experience (AWS or GCP)
CI/CD automation and observability experience
Proficiency in stateful multi-agent systems, loop engineering, LangGraph/LangChain architectures
RAG evaluation frameworks, guardrails, and production SLA governance
Experience leading engineering squads across full-stack, cloud platform, and applied AI systems
Full description
Choosing 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 (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-off
The base compensation range for this role in the posted location is 141546 - 203155
Capgemini 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, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
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Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.