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

Accenture

Hybrid

Quick summary

Work type: Hybrid
Location: Dallas, TXColumbus, OHFLAtlanta, GAHouston, TX
Salary: $94,400–$293,800 / yr
Posted: 3 days ago
Nearby: 78 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $212k

This role $194k

$70k most similar roles pay here $318k

This role pays less than 71% of similar roles. Most pay $177,425–$246,150 — the shaded band above. At the midpoint, this role pays about $194k versus about $212k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 126 open roles on FindRole.

Listed pay typically runs $94,400–$220,400 across 85 roles with salary data.

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At a glance

TL;DR · Sr. AI Engineer - Forward Deployed Engineer Manager· Databricks · Reinvention Centers

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As a Senior AI Native Engineer at the Advanced Technology Centers (ATCs), you will lead and scale world-class AI/ML professional services on Databricks, working closely with executive stakeholders to drive complex transformations. Your day-to-day involves designing enterprise-ready AI agents, architecting solutions using Databricks tools like Mosaic AI and Vector Search, establishing Lakehouse data foundations, and developing abstraction layers for seamless integration across various providers. You will also conduct workshops, proofs of concept, and code sessions with clients while ensuring robust, secure, and operational workflows in complex domains. This role requires extensive experience with Databricks, Python, Java, CI/CD pipelines, and MLOps, as well as hands-on expertise with agentic orchestration tools and AI platforms like OpenAI and Anthropic.

Skills

Databricks Mosaic AI Vector Search Model Serving MLflow Unity Catalog Delta Lake Apache Spark Python Java CI/CD MLOps LLMOps LangGraph CrewAI AutoGen OpenAI Vertex AI APIs containerization microservices serverless event-driven architectures

What you'll do

Design and engineer enterprise-ready AI agents with robust features.
Architect scalable AI-native solutions on Databricks using Unity Catalog governance.
Establish Lakehouse data foundations to power production AI across portfolios.
Develop abstraction layers for seamless integration of multiple AI providers.
Tailor and deploy agentic applications in various industries like finance and healthcare.

What we're looking for

Minimum 10 years of experience on Databricks and large-scale big data projects.
Proficient in Python or Java with experience in evaluation tooling and observability.
Extensive experience deploying production systems with CI/CD and MLOps practices.
At least one year designing and shipping agentic AI solutions in production.
Hands-on experience with Databricks AI tools and multi-agent systems.
Experience working with various AI platforms including OpenAI, Claude, Vertex AI.

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Python TensorFlow PyTorch Kubernetes Docker AWS CI/CD Git Jenkins PostgreSQL MongoDB Scikit-learn Pandas NumPy Hadoop Spark RESTful APIs Swagger

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