Accenture seeks a Senior AI Native Engineer who embeds with clients to design, prototype, and deploy AI and ML solutions on the Databricks platform, guiding AI services initiatives and executive relationships. This forward deployed management role is hybrid and based in Irving, Texas, with a requirement for four days in the office and travel as needed, up to 25 percent to 75 percent.
Responsibilities
- 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 using Mosaic AI, Vector Search, Model Serving, and MLflow with Unity Catalog governance, scaling reusable patterns across customer engagements.
- Establish Lakehouse data foundations such as Delta Lake, DLT, and Unity Catalog to power production AI across client portfolios.
- Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, and others) for seamless integration.
- Leverage containerization, microservices, serverless, and event driven architectures to deliver scalable AI native systems.
- Tailor and deploy agentic applications across industries including finance, healthcare, and retail.
- Lead design workshops, proofs of concept, and code-with sessions with client stakeholders.
- Define 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 and LLMOps pipelines with CI/CD across the ML and LLM lifecycle.
Requirements
- Minimum 10 years of experience on Databricks and large scale big data projects (Delta Lake, DLT, Apache Spark, Unity Catalog), including building API layers that expose data and AI capabilities to enterprise systems.
- Minimum 10 years of experience in Python, Java, or equivalent, with comfort in 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 of designing and shipping agentic AI solutions in production.
- Minimum 1 year of experience with agentic orchestration tools (LangGraph, CrewAI, AutoGen, or similar); hands on with Databricks AI tooling such as Mosaic AI, Vector Search, Model Serving, MLflow, and Unity Catalog governance; experience building RAG and multi agent systems on the Databricks Intelligence Platform.
- Minimum 1 year of experience working with AI platforms across OpenAI, Claude, Vertex AI, and open source models.
- Bachelor's degree or equivalent (minimum 12 years) of work experience; if an Associate Degree, a minimum of 6 years of work experience.
Technologies
- Databricks Intelligence Platform
- Mosaic AI, Vector Search, Model Serving, MLflow
- Unity Catalog, Delta Lake, DLT, Apache Spark
- Python, Java
- LangGraph, CrewAI, AutoGen
- OpenAI, Claude, Vertex AI, Google, Anthropic
Benefits
- Medical
- Dental
- Vision
- Life
- Long-term disability coverage
- 401(k) plan
- Bonus opportunities
- Paid holidays
- Paid time off
HERE'S WHAT YOU NEED
- Minimum 10 years of experience on Databricks and large-scale big data projects (Delta Lake, DLT, Apache Spark, Unity Catalog), including API layers exposing data and AI/ML capabilities to enterprise systems.
- Minimum 10 years of experience in Python, Java, or equivalent, with comfort in 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 across the ML and LLM lifecycle.
- Minimum 1 year designing and shipping agentic AI solutions in production.
- Minimum 1 year with agentic orchestration tools (LangGraph, CrewAI, AutoGen, or similar); hands on with Databricks tools and RAG/multi-agent systems.
- Minimum 1 year experience with AI platforms such as OpenAI, Claude, Vertex AI, and open source models.
- Bachelor's degree or equivalent (minimum 12 years of work experience). If Associate Degree, minimum 6 years of work experience.
REQUESTING AN ACCOMMODATION
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