Senior AI/ML & Data Engineer

Accenture
Chantilly, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 203K

Job location

Chantilly, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Automated Storage and Retrieval Systems
Azure
Google BigQuery
Cloud Computing
Cloud Engineering
Computer Security
Continuous Integration
Data Validation
Information Engineering
ETL
Graph Database
Python
Machine Learning
TensorFlow
Zero Trust Network Access
Azure
Search Technologies
Data Logging
PyTorch
System Availability
Large Language Models
Snowflake
Model Validation
Generative AI
Gitlab
Cloudformation
Containerization
Data Lake
Scikit Learn
Kubernetes
Infrastructure Automation Frameworks
Information Technology
HuggingFace
Machine Learning Operations
Terraform
Stream Processing
Software Version Control
Data Pipelines
Devsecops
Docker
Jenkins
Databricks
Microservices

Job description

We are looking for an experienced Senior AI/ML and Data Engineer to develop, implement, and maintain sophisticated machine learning, LLM, and enterprise AI solutions for our federal client. The ideal candidate combines strong hands on engineering talent with architectural leadership-capable of shaping mission aligned AI strategy, designing scalable pipelines, and delivering production-grade ML and Generative AI capabilities in secure environments. This role will partner with cross functional teams - including data engineering, cloud engineering, cybersecurity, and mission SMEs - to architect end-to-end AI systems that are reliable, compliant, and impactful.

The work you'll do :

  • AI/ML Engineering :
  • Design, develop, and deploy machine learning models, LLM applications, retrieval augmented generation (RAG) pipelines, and agentic AI systems.
  • Build data preprocessing, training, fine tuning, inference, and evaluation workflows.
  • Develop scalable ML pipelines using modern toolchains (SageMaker, Bedrock, Azure ML, Databricks, Ray, HuggingFace).
  • Implement MLOps solutions including CI/CD for ML, model versioning, monitoring, logging, and drift detection.
  • Shape AI system design decisions including vector DB selection, embedding strategies, prompt architecture, and model selection.
  • Define target state architectures for LLM enabled applications, AI microservices, RAG pipelines, and knowledge retrieval systems.
  • Data & Cloud Engineering :
  • Design, build, and maintain scalable automated data pipelines (ETL/ELT) to support both batch and real-time data processing.
  • Architect data lakes and warehouses (e.g., Snowflake, Databricks, BigQuery) to ensure high availability and performance for ML workflows.
  • Implement rigorous data quality checks and validation frameworks to ensure "garbage-in, garbage-out" never applies to our models.
  • Delivery & Stakeholder Engagement :
  • Work closely with program leadership, technical SMEs, and mission stakeholders to define requirements and AI roadmaps.
  • Translate business problems into technical AI solutions and communicate tradeoffs to mixed audiences.
  • Produce architecture diagrams, interface specifications, deployment patterns, and integration plans.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, or related field.
  • 5+ years of experience in one or more of the following areas:
  • AI/ML engineering, cloud-native development, or data engineering.
  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn).
  • Hands on experience with LLM development (OpenAI, Anthropic, Bedrock, Azure OpenAI, HuggingFace Transformers).
  • Experience architecting ML pipelines using AWS, Azure, or GCP.
  • Familiarity with DevSecOps and IaC tools (Terraform, CloudFormation, Jenkins, GitLab, etc.).
  • Experience implementing microservices, APIs, and containerized workloads (Docker, Kubernetes, ECS/EKS/AKS).
  • Understanding of security frameworks (FedRAMP, NIST 800 53, Zero Trust) for ML systems.

Bonus points if you have :

  • Experience building RAG pipelines with vector databases (Pinecone, FAISS, Weaviate, Milvus).
  • Experience designing agentic workflows and multi agent AI systems.
  • Experience with graph databases, knowledge graphs, or semantic search.
  • Certifications such as AWS Architect, AWS ML Specialty, Azure AI Engineer, Security+.
  • Ability to translate complex technical concepts for non-technical audiences.
  • Strong problem-solving abilities with a product focused mindset.
  • Strong communication and client facing consulting skills.
  • Ability to work across cross-functional teams in a fast-paced environment.

Security clearance :

  • Active TS security clearance is required.

About the company

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward!, As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. (https://www.accenture.com/us-en/careers/your-future-rewards-benefits) We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is: $100,200-$203,400 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. (https://afscommunities.force.com/careers/s/equal-opportunity-annual-policy) Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you **_ _** are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

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