AI Product, Architecture & Delivery Lead

Position Summary

We are seeking a highly experienced AI Product, Architecture & Delivery Lead to drive the strategy, architecture, and execution of next-generation lending solutions. This role will serve as the onsite technology leader responsible for translating business objectives into scalable technology solutions, leveraging AI-driven innovation, and partnering closely with global engineering teams to deliver business value.

The ideal candidate combines deep lending domain expertise, strong solution architecture capabilities, Agile delivery leadership, and practical experience applying emerging AI technologies to accelerate product development and decision-making.

This individual will serve as the key liaison between business stakeholders, technology leadership, enterprise architecture, infrastructure, security, and offshore engineering teams while ensuring successful execution from concept through production delivery.

What you will do at Sogeti:

Key Responsibilities

Product Strategy & Business Alignment

• Partner with business and technology leaders to define product vision, strategy, and roadmap for lending platforms and related capabilities.
• Translate business objectives into scalable, secure, and AI-enabled technology solutions.
• Drive prioritization of product capabilities, balancing customer needs, technical feasibility, regulatory requirements, and business outcomes.
• Identify opportunities to leverage AI and automation to improve operational efficiency, customer experience, and speed to market.
• Present recommendations, roadmaps, risks, and progress updates to senior leadership.

Solution Architecture & Technical Leadership

• Lead solution architecture and technical design for lending platform initiatives.
• Rapidly evaluate business challenges and develop pragmatic, scalable architectural solutions.
• Apply AI-enabled development approaches to accelerate ideation, design, and delivery.
• Establish and enforce engineering standards, governance policies, security controls, and architectural best practices.
• Guide development teams on application architecture, integration patterns, cloud-native design, security, resiliency, and performance optimization.
• Collaborate with Enterprise Architecture, Infrastructure, and Security teams to ensure alignment with enterprise standards.

AI Strategy & Innovation

• Drive adoption of AI-first thinking across products, engineering processes, and delivery practices.
• Evaluate and implement opportunities involving:
• Generative AI
• Machine Learning
• Agentic AI
• AI-assisted software development
• AI-powered business capabilities
• Promote responsible AI practices, governance frameworks, and risk controls.
• Leverage AI tools and domain expertise to accelerate solution design, analysis, delivery planning, and development productivity.

Agile Delivery Leadership

• Own end-to-end delivery accountability for strategic initiatives.
• Lead Agile planning, execution, dependency management, and release readiness activities.
• Partner closely with offshore development teams to ensure alignment, velocity, quality, and successful execution.
• Remove delivery obstacles and proactively manage risks and dependencies.
• Track and communicate KPIs, KRIs, delivery metrics, and operational performance indicators.
• Drive continuous improvement across engineering and delivery processes.

Stakeholder Management

• Build strong partnerships with:
• Directors and Senior Directors
• Business Product Owners
• Enterprise Architecture Teams
• Infrastructure Teams
• Security Teams
• Engineering Teams
• Communicate technical and business concepts effectively to both technical and non-technical audiences.
• Influence decision-making through data, strategic thinking, and technical expertise.

What you will bring:

Required Qualifications

Leadership & Delivery

• 10+ years of experience leading complex technology initiatives.
• Proven success leading Agile teams and large-scale software delivery programs.
• Demonstrated experience managing globally distributed delivery teams.
• Strong executive communication and stakeholder management skills.

Lending Domain Expertise

• Deep experience within lending platforms, loan lifecycle management, collateral management, consumer lending, commercial lending, or related financial services technology.
• Strong understanding of lending business processes and associated technology ecosystems.
• Experience aligning product strategy with business and operational objectives.

Architecture & Technical Leadership

• Strong solution architecture and system design expertise.
• Ability to rapidly assess business problems and define practical technology solutions.
• Experience providing technical leadership and mentoring engineering teams.
• Strong understanding of:
• Cloud-native architectures
• APIs and microservices
• Event-driven architectures
• Security and governance frameworks
• DevOps and CI/CD practices
• Enterprise integration patterns

AI & Emerging Technology

• Practical experience applying Generative AI technologies to business and engineering solutions.
• Understanding of Machine Learning concepts and AI-enabled product capabilities.
• Familiarity with Agentic AI frameworks and modern AI development practices.
• Experience utilizing AI-assisted development tools to improve productivity and delivery outcomes.
• Knowledge of AI governance, responsible AI practices, and risk management principles.

Core Competencies

• Critical thinking
• Strategic problem solving
• Decision making under ambiguity
• Strong leadership presence
• Innovation mindset
• Results orientation
• Collaboration and influence

Preferred Qualifications

• Experience with Digital Assets platforms.
• Crypto-backed lending products.
• Digital wallet solutions.
• Blockchain and distributed ledger technologies.
• Financial analytics and data-driven decision-making experience.
• Experience building or supporting AI-enabled financial products.
• Knowledge of regulatory and compliance considerations related to digital assets.

Technical Environment

Candidates should possess sufficient technical depth to guide engineering teams across:

• Cloud Platforms (Azure, AWS, GCP)
• Modern Full Stack Architectures
• APIs and Microservices
• Event-Driven Systems
• AI/ML Platforms
• DevOps and CI/CD Toolchains
• Security and Governance Frameworks

About Sogeti

Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.

Become Your Best | www.sogeti.us

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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 accommodations do 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.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $180,000 - $250,000.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.