AI - Forward Deployed Engineer (contract)

Forward Deployed Engineer

Responsibilities:
Rapidly build and deploy end-to-end AI systems and core components of generative AI solutions, owning the full arc from problem framing and MVP development to deployed workflow with a bias to action

Collaborate with technical leads, product managers, and cross-functional teams to contribute to the technical design of AI agents, orchestration patterns, and advanced context engineering modules

Drive product advancements by developing robust RAG pipelines, context engineering workflows, and integrations with services like Azure AI Search and Databricks

Champion production discipline by implementing rigorous testing and evaluation frameworks, including golden sets, regression harnesses, and red-teaming to ensure secure, observable, and auditable code

Deliver in a fast-paced, outcome-accountable environment, operating in two-to-six-week cycles with direct client and stakeholder feedback to ensure solutions solve real-world problems and are ready for scale

Deploy and maintain scalable AI microservices and containerized workloads, optimizing performance and reliability to meet enterprise standards

Champion the use of modern development accelerators such as Claude Code, Lovable, Cursor, and others where policy permits, to increase delivery capacity and velocity while elevating code quality

Ensure software reliability and high code quality by writing unit tests, participating in code reviews, and utilizing CI/CD pipelines for automated builds and deployments

Engage in agile development processes including daily stand-ups, sprint planning, and retrospectives

Act with integrity, professionalism, and personal responsibility to uphold KPMG’s respectful and courteous work environment

Qualifications:
Minimum three years of recent experience in software engineering with demonstrated success in building, testing, and shipping production AI, machine learning, or data-intensive applications

Bachelors degree from an accredited college or university in computer science, engineering, artificial intelligence, or a related technical field is preferred

Strong programming skills in Python; hands-on experience with modern AI/ML frameworks such as LangChain, LlamaIndex, or Semantic Kernel

Practical knowledge of modern AI methodologies and engineering practices, including AI systems judgment, context engineering, agentic workflows, and evaluation discipline

Skilled within an agile environment using SDLC tools like Azure DevOps, Git, and CI/CD pipelines for automated builds and deployments

Solid experience with cloud platforms, preferably Azure (or GCP/AWS); familiar with containerization technologies like Docker and Kubernetes

Familiarity with AI-first developer accelerators (such as Cursor, Claude Code, or Copilot) to drive high-velocity development

Certifications in areas such as Claude Certified Architect , Claude Certified Developer , OpenAI Codex Deployment Practitioner , and OpenAI Codex Professional are preferred

Excellent analytical, problem-solving, and communication skills; able to communicate technical ideas clearly, thrive in ambiguous environments, and collaborate effectively with diverse stakeholders

Ability to demonstrate prior experience with real work via a portfolio, a GitHub repository, or a structured walk-through of a system designed and shipped

KPMG LLP (“KPMG”) seeks a contractor in the United States to provide service to KPMG through one of our contracted employer/agency service providers. All applicants for any KPMG role are expected to act with integrity, professionalism, and personal responsibility to uphold the firm’s respectful and courteous work environment. All applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).

Nothing herein shall be deemed to create an employer-employee relationship between contractor and KPMG, nor shall contractor be considered a representative or agent of KPMG.

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