Senior AI Engineer & Forward Deployed Engineer Manager at Accenture (Databricks Reinvention Centers)
How to Apply: Senior AI Engineer & Forward Deployed Engineer Manager at Accenture (Databricks Reinvention Centers) — Career, Salary, & SEO Guide
Accenture, in strategic collaboration with hackajob and Databricks, is hiring a Senior AI Engineer - Forward Deployed Engineer Manager to lead enterprise Artificial Intelligence (AI) transformation initiatives within its Advanced Technology Centers (ATCs). This high-paying executive technical role bridges the gap between client leadership (CIOs, CDOs, and VPs) and hands-on AI engineering. You will architect agentic workflows, build Retrieval-Augmented Generation (RAG) pipelines, and deploy enterprise machine learning platforms using the Databricks Intelligence Platform.
This guide details the salary structure, job responsibilities, technical requirements, benefits package, and application steps for joining Accenture's Reinvention Centers in Dallas, TX, and alternative locations.
High Salary Potential, Executive Compensation, & Geographic Bands
Accenture provides a competitive compensation structure for Senior AI Engineers and Forward Deployed Engineering Managers. Compensation scales according to location, technical expertise, and executive client consulting performance.
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| Senior AI Engineer & Forward Deployed Engineer Manager |
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| ACCENTURE SALARY BANDS BY STATE / LOCATION |
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| California | $94,400 – $293,800 / year |
| New York & New Jersey | $87,400 – $293,800 / year |
| District of Columbia, WA, MA | $94,400 – $270,300 / year |
| Colorado, Illinois, Maryland, Minnesota| $87,400 – $253,800 / year |
| Cleveland, OH & Virginia | $87,400 – $270,300 / year |
| Maine | $80,400 – $216,200 / year |
| Dallas & Houston, TX (Estimated) | $103,000 – $240,000+ / year |
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Additional Compensation & Financial Benefits
Incentive Performance Bonuses: Annual cash bonuses linked to client account performance, AI project delivery, and practice growth metrics.
401(k) Retirement Savings: 401(k) retirement plan featuring company matching contributions.
Employee Stock Purchase Plan (ESPP): Purchase Accenture shares (NYSE: ACN) at a discounted rate through payroll deductions.
Complete Benefits & Perks Package
Accenture offers health, wellness, family care, and career growth benefits to support its global workforce:
Healthcare Coverage: Comprehensive medical, dental, and vision insurance with options for Health Savings Accounts (HSAs) and Flexible Spending Accounts (FSAs).
Life & Disability Protection: Employer-paid life insurance along with short-term and long-term disability protection.
Paid Time Off (PTO): Generous paid annual vacation, 10+ paid company holidays, sick leave, and parental leave for birth or adoption.
Continuous Upskilling & Certifications: Fully paid certification programs for Databricks (Databricks Certified Machine Learning Professional, Generative AI Engineer), AWS, Azure, and Google Cloud Platform (GCP).
Workplace Flexibility: Hybrid work schedule requiring 4 days per week in-office (Dallas, TX; Columbus, OH; Tampa, FL; Atlanta, GA; or Houston, TX), with client travel varying between 25% and 75%.
Job Responsibilities & Technical Work Scope
As a Senior AI Engineer and Forward Deployed Engineer Manager within Accenture's Advanced Technology Centers (ATCs), you will embed directly into enterprise client environments. You will act as both a lead technologist and trusted executive advisor:
A. Executive AI Advisory & Strategic Account Management
Executive Partnership: Build strategic relationships with VP+, CIO, and CDO stakeholders to translate business challenges into production-ready AI solutions.
Cross-Functional Influence: Collaborate across Product, R&D, Sales, and Field Engineering teams to scale reusable engagement models globally.
Account OKR Ownership: Drive Objectives and Key Results (OKRs) for AI-services-led accounts, acting as a thought leader in enterprise AI/ML architectures.
B. Databricks Platform Architecture & Lakehouse Infrastructure
Databricks Intelligence Platform: Architect scalable AI-native applications leveraging Mosaic AI, Vector Search, Model Serving, MLflow, and Unity Catalog governance.
Lakehouse Data Foundations: Build data infrastructure on Delta Lake, Delta Live Tables (DLT), and Apache Spark™ to process large-scale distributed datasets.
Governance & Access Control: Implement fine-grained security, data lineage, and model governance using Unity Catalog across multi-cloud environments.
C. Agentic AI Workflows & Generative AI Systems
Agentic Systems Engineering: Design and deploy production agentic workflows featuring multi-agent orchestration, policy-based routing, tool invocation, dynamic retrieval, and safety evaluation harnesses.
Agentic Frameworks: Orchestrate agents using frameworks such as LangGraph, AutoGen, CrewAI, and custom Python implementations.
Model Abstraction Layers: Develop model-agnostic abstraction APIs connecting leading Large Language Models (LLMs)—including Anthropic Claude, OpenAI GPT-4, Google Gemini, and open-source models—to enterprise business tools.
D. MLOps, LLMOps, & Enterprise Systems Engineering
LLMOps CI/CD Pipelines: Build automated MLOps/LLMOps pipelines handling data ingestion, model fine-tuning, evaluation harnesses, prompt management, and automated deployment.
Observability & Evaluation: Set up real-time telemetry, model drift detection, cost monitoring, latency tracing, and safety evaluation harnesses.
Serverless & Event-Driven Builds: Leverage containerization (Docker, Kubernetes), microservices, serverless computing, and event-driven architectures to integrate AI capabilities into existing enterprise software systems.
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| Senior AI Engineer & Forward Deployed Engineer Manager at Accenture |
Candidate Qualifications & Requirements
Accenture maintains strict qualification standards for this senior management role:
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| SR. AI ENGINEER QUALIFICATION CHECKLIST |
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| [Big Data & Databricks Foundation] |
| - Minimum 10 years of experience with Databricks and large-scale data systems. |
| - Deep expertise in Delta Lake, DLT, Apache Spark, and Unity Catalog governance.|
| - Hands-on experience building API layers for enterprise AI/ML capabilities. |
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| [Software Engineering & DevOps/MLOps] |
| - Minimum 10 years of experience in Python, Java, or equivalent languages. |
| - Minimum 10 years deploying production systems via CI/CD and Infrastructure |
| as Code (IaC). |
| - Practical experience managing MLOps/LLMOps lifecycle workflows. |
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| [Agentic AI & Generative AI Specialization] |
| - Minimum 1 year shipping production agentic AI solutions. |
| - Minimum 1 year using LangGraph, CrewAI, AutoGen, or similar tools. |
| - Minimum 1 year using Mosaic AI, Vector Search, Model Serving, and MLflow. |
| - Minimum 1 year working with OpenAI, Claude, Vertex AI, or open-source models. |
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| [Education & Legal Requirements] |
| - Bachelor's degree (or 12+ years equivalent work experience; Associate degree |
| requires 6+ years work experience). |
| - US Work Authorization required (No current or future visa sponsorship). |
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Step-by-Step Guide: How to Apply to Accenture
Follow these steps to prepare your materials and submit your application for the Senior AI Engineer / Forward Deployed Engineer Manager position:
[Step 1: Portfolio & Resume Optimization]
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[Step 2: Submit Profile via hackajob / Accenture Portal]
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[Step 3: Initial Candidate Screening]
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[Step 4: Technical System Design & Code Assessment]
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[Step 5: Executive Behavioral & Client Scenario Interview]
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[Step 6: Formal Background Check & Employment Offer]
Step 1: Optimize Resume Keywords for ATS Screening
Ensure your resume highlights the primary technical terms used in Accenture's screening process:
Core Keywords: Senior AI Engineer, Forward Deployed Engineer Manager, Databricks Intelligence Platform, Mosaic AI, Delta Lake, Delta Live Tables (DLT), Unity Catalog, Apache Spark, PySpark, Python, MLOps, LLMOps, Agentic AI, LangGraph, CrewAI, AutoGen, Vector Search, MLflow, OpenAI, Anthropic Claude, Vertex AI, RAG, CI/CD, Accenture Advanced Technology Centers (ATCs), Dallas TX.
Highlight Quantitative Impact: Focus on measurable outcomes, such as Architected a multi-agent RAG workflow on Databricks Mosaic AI that reduced document processing latency by 45% across 50,000 daily enterprise transactions.
Step 2: Submit Application via Authorized Portals
Apply directly through Accenture's career channels or candidate platforms like hackajob:
Accenture Careers Portal:
https://www.accenture.com/us-en/careers Partner Platform: hackajob Application Portal
Location Selection: Primary office is Dallas, TX (Hybrid - 4 days in office). Alternative approved locations include Columbus, OH; Tampa, FL; Atlanta, GA; and Houston, TX.
Candidate Application Email / Cover Letter Template
Subject: Candidate Application: Sr. AI Engineer - Forward Deployed Engineer Manager (Dallas, TX) - [Your Name]
Dear Accenture Talent Acquisition Team & hackajob Partners,
I am writing to express my interest in the Sr. AI Engineer - Forward Deployed Engineer Manager role within Accenture’s Advanced Technology Centers (Reinvention Centers).
Summary of Professional Qualifications:
Databricks & Big Data Architecture: 10+ years of enterprise experience building data platforms using Databricks, Delta Lake, DLT, Apache Spark, and Unity Catalog.
Software Development & MLOps: 10+ years developing Python applications, implementing MLOps/LLMOps pipelines, and managing automated CI/CD infrastructures.
Production Agentic AI: 1+ years architecting and shipping production agentic workflows, multi-agent RAG applications, and LLM abstraction layers using LangGraph, Mosaic AI, and Vector Search.
Executive Client Advisory: Demonstrated experience advising CDOs and CIOs on enterprise AI implementations.
Work Authorization: Authorized to work in the United States without visa sponsorship.
I have attached my updated resume for your review. I look forward to discussing how my experience with Databricks and Generative AI can support client transformation initiatives at Accenture.
Sincerely,
[Your Name]
Phone: [Your Phone Number]
Email: [Your Email Address]
LinkedIn: [Your LinkedIn Profile URL]
GitHub: [Your Portfolio / GitHub URL]
Step 3: Candidate Interview Process
Recruiter Screening: Initial conversation covering your professional background, location preference (Dallas, TX hybrid schedule), travel willingness (25%–75%), and salary expectations.
Technical Deep-Dive: A multi-part engineering interview assessing your knowledge of Python, Spark optimization, Delta Lake governance with Unity Catalog, and Databricks Mosaic AI architectures.
Agentic System Design: A technical design scenario where you will architect an end-to-end agentic workflow, select vector search indexing approaches, design tool invocation APIs, and establish LLMOps evaluation harnesses.
Executive Advisory Assessment: A behavioral interview evaluating your ability to lead technical teams, handle client requirements, manage account OKRs, and partner with senior stakeholders (CIOs/CDOs).
Technical Architectural Example: Enterprise Databricks Agentic RAG Pipeline
Below is a conceptual architecture diagram illustrating the Databricks AI environment you will design and maintain at Accenture:
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| ENTERPRISE DATABRICKS AI ARCHITECTURE |
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| [Enterprise Data Sources] |
| Operational DBs ──► Delta Live Tables (DLT) ──► Delta Lake Storage |
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| [Governance Layer: Databricks Unity Catalog] |
| Identity Management | Fine-Grained Access Control | Data & Model Lineage |
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| [Databricks Mosaic AI & Vector Engine] |
| Delta Lake ──► Data Ingestion ──► Mosaic AI Vector Search (Embeddings Index) |
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| [Agentic Orchestration & Model Execution] |
| User Prompt ──► LangGraph Agent ──► API Tool Invocation |
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| ├──► Vector Search Context Retrieval |
| └──► Model Serving (OpenAI / Claude / Llama) |
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| [LLMOps Lifecycle & Telemetry] |
| MLflow Tracking ──► Evaluation Harnesses ──► Observability & Cost Metrics |
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Essential Summary Table
| Role Attributes | Specification Details |
| Official Role Title | Sr. AI Engineer - Forward Deployed Engineer Manager |
| Hiring Organization | Accenture (in partnership with hackajob & Databricks) |
| Division | Advanced Technology Centers (ATCs) / Reinvention Centers |
| Primary Location | Dallas, TX (Hybrid - 4 Days In-Office Required) |
| Secondary Locations | Columbus, OH; Tampa, FL; Atlanta, GA; Houston, TX |
| Estimated Base Pay | $94,400 – $293,800/year (Varies by geographic state & level) |
| Required Travel | 25% to 75% dependent on client needs |
| Core AI Stack | Databricks, Mosaic AI, Vector Search, MLflow, Unity Catalog |
| Orchestration Tools | LangGraph, CrewAI, AutoGen, Python |
| Key Experience | 10+ Yrs Big Data/Python |
| Visa Sponsorship | Not Available (US Work Authorization Required) |
| Application Deadline | Expected open through July 27, 2026 |
| Official Portals |
⚠️ Important Candidate Legal & Compliance Notice
Equal Employment Opportunity: Accenture is an Equal Opportunity and Affirmative Action Employer. All qualified applicants receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status.
Visa Sponsorship Policy: Applicants must possess permanent U.S. work authorization. Accenture will not provide visa sponsorship or visa transfers for this position.
Accommodation Requests: Candidates requiring disability or religious accommodations for the recruitment process can contact Accenture toll-free at 1-877-889-9009 or communicate directly with their assigned recruiter.