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Capgemini Financial Services Jobs (NOW HIRING)

Capgemini

ITSM Problem Manager

San Antonio, TX · Hybrid

$90K - $110K/yr

Experience in regulated or high-availability environments (e.g., government, healthcare, financial services) About Capgemini Capgemini is a global leader in partnering with companies to transform and ...

Capgemini

Senior AbInitio Developer

Tampa, FL · On-site

... financial services is required -Exposure to Agile Scrum methodologies -Should have minimum ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

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Capgemini Financial Services information

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$38.5K

$95.5K

$146K

How much do capgemini financial services jobs pay per year?

As of Jun 11, 2026, the average yearly pay for capgemini financial services in the United States is $95,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $111,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Capgemini Financial Services, and why are they important?

To thrive in Capgemini Financial Services, you typically need a background in finance, business analysis, or information technology, often supported by a relevant degree or professional certifications such as CFA, FRM, or PMP. Familiarity with financial software platforms (like SAP, Oracle, or Finacle), data analytics tools, and regulatory compliance systems is highly valuable. Strong communication, problem-solving, and client management skills help professionals stand out in this client-facing, fast-paced environment. These skills ensure the delivery of effective financial solutions, foster client trust, and support the company's reputation for excellence.

What are Capgemini Financial Services?

Capgemini Financial Services is a division within Capgemini, a global consulting, technology, and outsourcing company, that focuses specifically on providing solutions and services to the financial sector. This includes banks, insurance companies, and capital markets firms. Capgemini Financial Services offers services such as digital transformation, IT consulting, business process outsourcing, cybersecurity, and data analytics to help financial institutions improve efficiency, comply with regulations, and enhance customer experience.

What are some typical challenges faced by professionals in Capgemini Financial Services, and how can they be addressed?

Professionals working in Capgemini Financial Services often encounter challenges such as adapting to rapidly changing financial regulations, managing client expectations, and integrating new technologies into existing systems. To address these, employees are encouraged to engage in continuous learning, leverage Capgemini's internal training resources, and collaborate closely with cross-functional teams. Open communication with clients and regular alignment meetings can also help ensure deliverables meet the required standards while fostering strong client relationships.

What is the difference between Capgemini Financial Services vs Capgemini Business Analyst?

AspectCapgemini Financial ServicesCapgemini Business Analyst
Required credentialsBachelor's degree, financial certifications (e.g., CFA, CPA) often preferredBachelor's degree, business or IT certifications beneficial
Work environmentFinancial institutions, consulting projects in banking, insurance, asset managementProject teams within financial services, focusing on process analysis and solutions
Employer & industry usageConsulting roles within financial services clientsInternal or client-side roles analyzing business needs in finance projects

Capgemini Financial Services professionals focus on delivering consulting and technology solutions to financial institutions, often requiring industry-specific knowledge. Capgemini Business Analysts work on analyzing business processes and requirements within these projects. While both roles collaborate closely, Financial Services roles emphasize industry expertise, whereas Business Analysts concentrate on process analysis and solution design.

More about Capgemini Financial Services jobs
What cities are hiring for Capgemini Financial Services jobs? Cities with the most Capgemini Financial Services job openings:
What states have the most Capgemini Financial Services jobs? States with the most job openings for Capgemini Financial Services jobs include:
What job categories do people searching Capgemini Financial Services jobs look for? The top searched job categories for Capgemini Financial Services jobs are:
Capgemini Financial Services jobs near you
Infographic showing various Capgemini Financial Services job openings in the United States as of June 2026, with employment types broken down into 81% Full Time, 17% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $95,505 per year, or $45.9 per hour.
AI Product Engineer - Agentic AI Platforms (Financial Services)

AI Product Engineer - Agentic AI Platforms (Financial Services)

Capgemini

New York, NY • On-site

Full-time

Medical, Retirement, PTO

Posted 19 days ago

Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

81st of 204 rated it services

Job description

Capgemini is at the forefront of Generative AI innovation, helping Financial Services clients industrialize GenAI and Agentic AI platforms at enterprise scale.
We are seeking an experienced and innovative AI Product Engineer - Agentic Platforms to join our Financial Services Artificial Intelligence & Business Lines (FS-ABL) practice. This role is ideal for a consulting technologist with deep expertise in modern GenAI tooling, agentic system design, and enterprise SDLC, who can partner directly with clients to envision, design, develop, and deploy Agentic AI platforms in regulated environments.
In this role, you will work at the intersection of client advisory, AI product engineering, and delivery execution, helping banks, insurers, and capital markets firms transition from GenAI pilots to production-grade, governed, multi-agent systems. You will apply leading GenAI frameworks and LLM platforms - including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases-while operating across the full Agentic SDLC.
P&C Insurance knowledge and experience is a significant plus. Additionally, familiarity with core insurance platforms like Guidewire, DuckCreek or Majesco will be extremely helpful to succeed in this role.
We are looking for candidates across all levels of experience and expertise - junior through senior level AI Product Engineers.
Requirements
Client Advisory & Product Vision
  • Partner directly with Financial Services clients to identify, prioritize, and shape Agentic AI use cases across customer operations, underwriting, claims, risk, compliance, finance, and technology.
  • Lead client workshops to define agent personas, responsibilities, autonomy boundaries, human-in-the-loop checkpoints, and escalation logic.
  • Translate evolving business needs into agentic product backlogs, roadmaps, and MVP definitions.
  • Support executive conversations around GenAI platform strategy, operating models, vendor selection, and scale-out approaches.

Agentic Platform & Architecture Design
  • Design and implement multi-agent architectures using modern GenAI tooling, including:
  • Planner, executor, reviewer/critic, and supervisor agents
  • Tool-calling and function-calling agents
  • Memory-enabled agents (conversation, semantic, episodic, and structured memory)
  • Leverage LangChain and LangGraph for agent orchestration, workflows, and control flow.
  • Apply DSPy and declarative prompt optimization techniques for repeatability, performance tuning, and regression control.
  • Design agent interaction patterns such as hierarchical agents, collaborating agents, and event-driven agent workflows.
  • Define standardized agent contracts, interfaces, and schemas to enable reuse and scale.

Agentic SDLC & Engineering Delivery
  • Own delivery across the full Software Development Lifecycle (SDLC), extending it into a formal Agentic SDLC, including:
  • Agent design specifications and behavior contracts
  • Prompt, policy, and tool versioning
  • Simulation environments and offline evaluation
  • Automated testing of agent flows and guardrails
  • Controlled rollout, telemetry-driven optimization, and continuous learning
  • Build production-grade AI services primarily using Python, integrating:
  • LLM providers such as Anthropic (Claude), OpenAI, and open-source models
  • Retrieval-Augmented Generation (RAG) using vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate)
  • Implement CI/CD pipelines for agent code, prompts, and policies.
  • Integrate GenAI agents with client systems via APIs, workflow engines, event streams, and data platforms.

Observability, Evaluation & Optimization
  • Implement agent observability including tracing, decision logging, tool usage, and failure analysis.
  • Apply evaluation frameworks for hallucination detection, consistency checks, and fitness scoring.
  • Design feedback loops incorporating human-in-the-loop review and reinforcement.
  • Monitor cost, latency, throughput, and behavioral drift across deployed agents.

Governance, Risk & Financial Services Compliance
  • Design Agentic AI platforms aligned with Financial Services regulatory expectations, including:
  • Auditability and traceability of agent decisions
  • Model and prompt explainability
  • Data privacy and security controls
  • Resilience and fail-safe mechanisms
  • Embed guardrails and policies addressing hallucination risk, bias, unauthorized actions, and escalation failures.
  • Produce documentation supporting risk, compliance, internal audit, and regulator engagement.

Team Leadership & Firm Contribution
  • Provide technical leadership and mentorship to consulting delivery teams.
  • Contribute to internal GenAI accelerators, agent frameworks, and reusable assets.
  • Support RFPs, proposals, and client solution designs with credible GenAI and agentic architectures.
  • Participate in thought leadership on Agentic SDLC, GenAI engineering, and responsible autonomy.

Benefits
This position comes with competitive compensation and benefits package:
  1. Competitive salary and performance-based bonuses
  2. Comprehensive benefits package
  3. Career development and training opportunities
  4. Flexible work arrangements (remote and/or office-based)
  5. Dynamic and inclusive work culture within a globally known group
  6. Private Health Insurance
  7. Retirement Benefits
  8. Paid Time Off
  9. Training & Development
  10. *Note: Benefits differ based on employee level

About Capgemini
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 420,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2025.

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