Deployment Engineer

• Embed with internal teams and external customers to understand real workflows, pain points, and goals-then design and deploy solutions that fit operational needs.
• Build and deploy production-quality agentic AI systems (voice agents, chat agents, copilots, automation workflows) alongside data integrations and custom software to solve concrete business problems.
• Design and implement RAG pipelines, prompt orchestration layers, and multi-agent workflows tailored to real enterprise environments and BU-specific data.
• Integrate data pipelines, APIs, and third-party systems while handling the real-world messiness of enterprise deployments.
• Own outcomes after launch by monitoring and improving reliability, performance, and adoption-success is measured by business impact, not activity metrics., * Be part of a founding Forward Deployment Engineering team and help define playbooks, standards, and tooling from day one.
• Deploy agentic AI into live operational environments where measurable business outcomes matter.
• Work on a weekly cadence-prototype quickly, iterate from direct user feedback, and move solutions into reliable production.
• Partner directly with end users and stakeholders through demos, requirements gathering, and troubleshooting live systems.
• Mentor more junior engineers as the team scales and raise the bar for production deployment quality.

Upon completion of waiting period consultants are eligible for:

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay

• 8+ years building and shipping software in production, including end-to-end ownership of complex, ambiguous projects with minimal supervision.
• Python required as the primary language, plus strong proficiency in at least one additional language (JavaScript/TypeScript, Java, or Go).
• Hands-on AI/GenAI engineering experience deploying LLM-based systems in production, including prompt engineering, RAG architecture, and agent orchestration (LangChain, LlamaIndex, or equivalent).
• Data platform fluency: complex SQL and ETL/ELT pipelines; experience with data warehouses such as Snowflake, Databricks, or equivalent.
• Cloud & DevOps capability: comfort deploying to AWS, GCP, or Azure; working with Docker and CI/CD pipelines.

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells.

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World’s Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.