Capgemini
Senior GECX AI Forward Deployed Engineer - Lead Software Engineer
Atlanta, GA, US · Senior · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$17,728 more — $135,658 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $135,658 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Atlanta-Sandy Springs-Roswell, GA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- 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.
Responsibilities
- Design and build production-grade conversational and Agentic AI applications.
- Develop hands-on using Python, APIs, JSON and modern software engineering practices.
- Build and troubleshoot CES / GECX integrations and modernization scenarios.
- Implement tool/function calling, workflows, state/context management and agent orchestration.
- Develop RAG and enterprise-grounding solutions over structured and unstructured data.
- Implement secure authentication, IAM, secrets management and service-to-service communication.
- Implement agent evaluation, tracing, observability, guardrails and regression testing.
Nice to have
- Develop full-stack components required to complete the customer solution.
- Deploy applications using appropriate GCP services
- Rapidly prototype technical solutions and evolve validated prototypes toward production readiness.
- Work directly with customer engineering teams to reproduce issues, debug implementations and resolve technical blockers.
Skills
- Integrate agents with enterprise APIs, databases, CRM, contact-center platforms and backend systems.
- Diagnose production issues across agent logic, prompts, retrieval, tools, APIs, infrastructure and distributed services.
- Your skills and experience
Compensation
- $118k-$224k
Benefits
- 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
- Other benefits as provided by local policy and eligibility
This listing is sourced directly from Capgemini's careers page and normalized into a canonical job model.