9 days ago
Base Salary
$130k - $180k/yr
Responsibilities
- Lead client discovery, problem framing, success-measure definition, and value-hypothesis development.
- Own customer use cases from discovery through solution architecture, hands-on build, production deployment, adoption, and handoff.
- Build prototypes, proofs of value, production-ready software, and AI-powered workflows with appropriate human oversight.
- Define specifications and acceptance criteria, verify engineering and business outcomes, and drive production readiness across reliability, security, compliance, observability, and supportability.
- Turn prototypes into reusable assets, playbooks, patterns, and accelerators that can scale across clients.
- Lead client demonstrations and pilots, drive user adoption, track benefit realization, and support operating-model and process transformation.
- Coordinate multidisciplinary delivery teams and subject-matter experts and contribute to pursuits, pre-sales, workshops, and solution demonstrations.
Requirements
- Professional experience in software engineering, solution architecture, technical consulting, business consulting, product management, or a comparable customer-facing role.
- Demonstrated ability to independently lead customer workstreams from discovery through deployment and adoption.
- Ability to convert ambiguous requirements into measurable outcomes and executable delivery plans.
- Strong customer-facing communication, facilitation, stakeholder-management, and workshop-leadership skills.
- Ability to explain technical concepts and business trade-offs to engineering and business audiences.
- Working knowledge of security, privacy, compliance, governance, and software lifecycle practices.
- Working knowledge of Financial Services in banking or insurance, including products, processes, customer journeys, data domains, controls, and regulatory requirements.
- Ability to map business processes, data, controls, and regulatory obligations to solution designs and measurable outcomes.
- Hands-on experience applying AI, generative AI, workflow automation, analytics, or agentic AI to business problems.
- Familiarity with prompt engineering, retrieval-augmented generation, tool or function calling, agent orchestration frameworks, evaluation methods, guardrails, and responsible AI principles.
- Experience leading a multidisciplinary team, workstream, or delivery pod.
- Preferred qualifications include production delivery of AI, generative AI, machine-learning, analytics, or workflow-automation solutions; cloud-native architectures; enterprise integration; containers; infrastructure as code; DevOps; APIs; enterprise systems; data platforms; cloud services; business architecture; operating-model design; and pre-sales or business-case development.
- Preferred experience includes regulated environments, model-risk management, data governance, compliance frameworks, and banking, insurance, customer service, operations, or contact-centre domains.
Benefits
- Comprehensive benefits package for regular, full-time employees, with eligibility and availability based on local policy.
- Paid time off, including 12-25 vacation days depending on employee grade, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the U.S. and RRSP in Canada.
- Life and disability insurance and employee assistance programs.
- Additional benefits may be available under local policy and eligibility.
Categories
Forward Deployed
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.