Sr. AI Engineer - Forward Deployed Engineer Senior Manager· Databricks · Reinvention Centers

Job Title

Senior AI Native Engineer

As a Senior AI Native Engineer, you build and lead world‑class AI/ML services on the Databricks Intelligence Platform. You develop executive relationships with VP+, CIO, and CDO stakeholders as a trusted advisor, align with Field Engineering and Sales Leaders on strategic accounts, and shape cross‑functional influence across Product, R&D, and GTM. You lead AI PS initiatives, design reusable engagement models for global repeatability, own OKRs for AI‑services led accounts, and represent Databricks as a thought leader in AI/ML.

• Design and engineer enterprise‑ready AI agents covering retrieval, orchestration, policy‑based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Architect AI‑native solutions on Databricks (Mosaic AI, Vector Search, Model Serving, MLflow) with Unity Catalog governance, scaling reusable patterns across customer engagements.
• Establish Lakehouse data foundations (Delta Lake, DLT, Unity Catalog) to power production AI across customer portfolios.
• Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration.
• Leverage containerization, microservices, serverless, and event‑driven architectures to deliver scalable AI‑native systems.
• Tailor and deploy agentic applications across industries such as finance, healthcare, and retail.
• Conduct design workshops, proofs of concept, and code‑with sessions with client stakeholders.
• Define and use metrics to measure agent accuracy, latency, safety, and cost effectiveness.
• Process large‑scale distributed datasets on the Databricks Intelligence Platform with Apache Spark™.
• Integrate LLM solutions with APIs, model monitoring, and prompt management.
• Operate MLOps / LLMOps pipelines with CI/CD across the ML and LLM lifecycle.

• Minimum 10 years of experience on Databricks and large‑scale big data projects (Delta Lake, DLT, Apache Spark, Unity Catalog). You’ve also built API layers that expose data and AI/ML capabilities to enterprise systems.
• Minimum 10 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability.
• Minimum 10 years of experience deploying and operating production systems with CI/CD, infrastructure as code, and observability tooling. Practical MLOps and LLMOps experience covering model training, evaluation harnesses, model serving, monitoring, and prompt management.
• Minimum 1 year experience in designing and shipping agentic AI solutions in production.
• Minimum 1 year experience with agentic orchestration tools (Lang Graph, CrewAI, Auto Gen, or similar). Hands‑on with Databricks AI tooling:
  Mosaic AI, Vector Search, Model Serving, MLflow, and Unity Catalog governance. You’ve built RAG and multi‑agent systems on the Databricks Intelligence Platform.
• Minimum 1 year experience working with AI platforms across OpenAI, Claude, Vertex AI, and open‑source models.
• Bachelor’s degree or equivalent (minimum 12 years) work experience. (If associate degree, must have minimum 6 years work experience)

This is a hybrid role in Dallas, TX requiring 4 days per week in the office. May consider qualified applicants in Columbus, OH;
Tampa, FL;
Atlanta, GA;
Houston, TX. Travel may be required from 25% to 75% depending on business needs and client requirements.

Compensation varies by location and role. For reference, annual salary ranges are as follows:

• California: $94,400 to $293,800
• Cleveland: $87,400 to $235,000
• Colorado: $94,400 to $253,800
• District of Columbia: $100,500 to $270,300
• Illinois: $87,400 to $253,800
• Maryland: $94,400 to $253,800
• Massachusetts: $94,400 to $270,300
• Minnesota: $94,400 to $253,800
• New York: $87,400 to $293,800
• New Jersey: $100,500 to $293,800
• Washington: $100,500 to $270,300

Accenture offers a market‑competitive suite of benefits including medical, dental, vision, life, and long‑term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

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