Sr. Associate, Forward Deployed Engineer

KPMG LLP; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

KPMG LLP in Dallas is seeking a Sr Associate, Forward Deployed Engineer to rapidly build and deploy end-to-end AI systems, from problem framing to deployed workflows, with ownership of the full arc. join a collaborative team and apply modern AI techniques in a fast-paced environment.

You will work with product managers and technical leads to design AI agents, build robust pipelines, implement testing, and ensure scalable, secure deployments across cloud and container platforms.

Qualifications

• Minimum three years of software engineering experience building and shipping production AI or data-intensive applications.
• Master’s degree preferred; bachelor’s required.
• Strong Python skills with exposure to modern AI/ML frameworks.

Responsibilities

• Rapidly build and deploy end-to-end AI systems and core components of generative AI solutions.
• Collaborate with technical leads, product managers, and cross-functional teams to design AI agents and context engineering modules.
• Develop robust RAG pipelines and context engineering workflows, integrating Azure AI Search and Databricks.
• Ensure production discipline with rigorous testing, regression harnesses, and security-focused reviews.
• Deliver solutions in fast-paced cycles (two to six weeks) with direct client feedback and traceability to scale.
• Deploy and maintain scalable AI microservices and containerized workloads with CI/CD.

Skills

Python programming

LangChain

LlamaIndex

Semantic Kernel

Azure

Docker

Kubernetes

CI/CD

AI/ML frameworks

Communication skills

Education

Master's degree in Computer Science / Engineering / AI

Bachelor's degree required

Tools

Azure DevOps

Git

Docker

Kubernetes

Databricks

Job description

KPMG is currently seeking a Sr Associate, Forward Deployed Engineer to join our Advisory Services practice.

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
• Master’s degree from an accredited college or university in computer science, engineering, artificial intelligence, or a related technical field is preferred; minimum of a Bachelor’s degree is required
• 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 modern AI‑first developer accelerators (such as Cursor, Claude Code, or Copilot) to drive high‑velocity development
• 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
• Domestic travel required
• 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)