Job Description

Salary: $80,400 - 293,800 per year Requirements:

• We need at least 10 years of experience with Databricks and large-scale big data initiatives, including Delta Lake, DLT, Apache Spark, and Unity Catalog, plus experience building API layers that expose data and AI/ML capabilities to enterprise systems.
• We need at least 10 years of experience in Python, Java, or an equivalent language, with comfort using evaluation tools, logging, monitoring, and observability.
• We need at least 10 years of experience deploying and running production systems with CI/CD, infrastructure as code, and observability tooling, along with practical MLOps and LLMOps experience across training, evaluation, serving, monitoring, and prompt management.
• We need at least 1 year of experience designing and delivering agentic AI solutions in production.
• We need at least 1 year of experience with agentic orchestration tools such as LangGraph, CrewAI, AutoGen, or similar, and hands-on experience with Databricks AI tools including Mosaic AI, Vector Search, Model Serving, MLflow, and Unity Catalog governance.
• We need at least 1 year of experience working with AI platforms such as OpenAI, Claude, Vertex AI, and open-source models.
• We need a bachelors degree or equivalent experience, with the equivalent defined as 12 years of work experience; an associate degree requires at least 6 years of work experience.
• We need the ability to work in a hybrid setup in Dallas, TX, with 4 days per week in the office, and we may consider qualified applicants in Columbus, OH; Tampa, FL; Atlanta, GA; or Houston, TX.
• We need willingness to travel as business and client needs require, with travel ranging from 25% to 75%.
• We need a Senior AI Native Engineer who can build, lead, and scale world-class AI/ML professional services on the Databricks Intelligence Platform.
• We need someone who can develop executive relationships with VP+, CIO, and CDO stakeholders and act as a trusted advisor on complex AI transformations.
• We need someone who can align with Field Engineering and Sales Leaders on strategic accounts and influence across Product, R&D, and GTM.

• We design and engineer enterprise-ready AI agents covering retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• We architect AI-native solutions on Databricks using Mosaic AI, Vector Search, Model Serving, MLflow, and Unity Catalog governance, while scaling reusable patterns across customer engagements.
• We establish Lakehouse data foundations with Delta Lake, DLT, and Unity Catalog to support production AI across customer portfolios.
• We build abstraction layers across AI providers such as Anthropic, Google, OpenAI, and others to enable seamless integration.
• We use containerization, microservices, serverless approaches, and event-driven architectures to deliver scalable AI-native systems.
• We tailor and deploy agentic applications across industries including finance, healthcare, and retail.
• We run design workshops, proofs of concept, and code-with sessions with client stakeholders.
• We define and apply metrics to assess agent accuracy, latency, safety, and cost effectiveness.
• We process large-scale distributed datasets on the Databricks Intelligence Platform using Apache Spark.
• We integrate LLM solutions with APIs, model monitoring, and prompt management.
• We operate MLOps and LLMOps pipelines with CI/CD across the ML and LLM lifecycle.

• Agentic AI
• AI
• AI Agents
• API
• Architect
• Big Data
• CI/CD
• Databricks
• Support
• Java
• LLM
• MLflow
• MLOps
• Model Serving
• Network
• Python
• Serverless
• Spark
• Unity
• microservices
• GameDev
• Cloud
• Model Training
• RAG

More:

hackajob is working with Accenture to connect exceptional professionals with this opportunity. We are the Advanced Technology Centers (ATCs), a global network of more than 255,000 people across 24 countries, helping clients reinvent through industry insight and innovative technology solutions. Our teams provide seamless access to deep sector knowledge, the latest Gen AI capabilities, and technology expertise, while offering collaborative career paths where people learn from one another and tackle complex client challenges. This hybrid role is based in Dallas, TX with four days a week in the office, and we may also consider qualified applicants in Columbus, Tampa, Atlanta, or Houston. Travel may be required based on business and client needs, ranging from 25% to 75%. We offer a market-competitive benefits package that includes medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. Accenture is a global professional services company with approximately 791,000 people serving clients in more than 120 countries, and we are committed to inclusion, diversity, and equal opportunity.

last updated 41 week of 2026

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