AI / ML Engineer

Accenture Federal Services; Arlington (VA); On-site; USD 103,000 - 196,000; Full time

Job summary

Accenture Federal Services is seeking an experienced ML engineer to partner with stakeholders, translate business needs into scalable AI/ML solutions, and design end‑to‑end ML pipelines using Vertex AI, Gemini, and open‑source tools.

You will deploy scalable models, monitor drift, and collaborate with data engineers to ensure strong data architecture across Google Cloud services. Strong leadership and cloud experience are essential.

Qualifications

• US Citizen (Public Trust Eligible).
• 3–6+ years in ML engineering, data science, or AI development.
• 3+ years leading technical teams to achieve objectives.
• Experience developing standards and processes for cloud and on‑prem environments.
• Ability to recommend technology strategies with deep expertise.
• Provide technical direction to ensure standards compliance.
• Experience with Google Cloud Storage, IAM, encryption, and backups.
• Strong Python and ML framework knowledge.

Responsibilities

• Partner with stakeholders to identify and refine AI/ML use cases.
• Translate business needs into technical solutions.
• Design, build, fine‑tune, and evaluate ML and GenAI models using Vertex AI, Gemini, and open‑source tools.
• Develop end‑to‑end ML pipelines including data ingestion, feature engineering, orchestration, and CI/CD for models and prompts.
• Deploy scalable models and agents; monitor drift and production troubleshooting.
• Collaborate with data engineering to ensure high‑quality data architecture (BigQuery, Dataflow, Pub/Sub, Feature Store).
• Implement Responsible AI, security, governance, and compliance practices (IAM, encryption, auditing).
• Work cross‑functionally with product owners and DevOps to deliver reliable AI solutions.
• Perform hands‑on experimentation, prototyping, EDA, hyperparameter tuning, and documentation.

Skills

Python

SQL

ML & GenAI

LLMs

RAG

Education

Master’s degree

Tools

TensorFlow

PyTorch

scikit-learn

Transformers

LLM fine-tuning

Job description

Key Responsibilities

• Partner with stakeholders to identify and refine AI/ML use cases.
• Translate business needs into technical solutions.
• Design, build, fine‑tune, and evaluate ML and GenAI models (LLMs, RAG, embeddings, deep learning) using Vertex AI, Gemini, and open‑source tools.
• Develop end‑to‑end ML pipelines, including data ingestion, feature engineering, orchestration, and CI/CD for models and prompts.
• Deploy scalable models and agents; manage monitoring, drift detection, and production troubleshooting.
• Collaborate with data engineering teams to ensure high‑quality data architecture using BigQuery, Dataflow, Pub/Sub, and Feature Store.
• Implement Responsible AI, security, governance, and compliance best practices (IAM, encryption, auditing).
• Work cross‑functionally with product owners, platform teams, DevOps/SRE, and junior engineers to deliver reliable AI solutions.
• Perform hands‑on experimentation, prototyping, EDA, hyperparameter tuning, and documentation of pipelines and workflows.

Here is what you need

• US Citizen (Public Trust Eligible)
• 3–6+ years in machine learning engineering, data science, or AI development.
• 3+ years of experience in leading technical teams to achieve objectives and outcomes.
• Experience includes Developing and implementing technical standards, systems and processes for cloud and on‑prem environments.
• Recommending technology strategies and decisions with a high‑level of expertise and knowledge.
• Providing technical direction and support to ensure compliance with standards and guidelines.
• Google Storage: Access control, versioning, encryption, lifecycle management, storing logs, handling backups, managing static files, working with ML workflows, Storage Transfer Service, Cloud Storage, Cloud Storage for Firebase, Filestore, Google Workspace Essentials, Local SSD, Persistent Disk.
• Languages: Python, SQL ML & GenAI: TensorFlow, PyTorch, scikit-learn, Transformers, LLM fine tuning, RAG architectures.
• Cloud: Vertex AI, Gemini APIs, BigQuery, Cloud Storage, KMS, IAM.
• Data Pipelines: Vertex AI Pipelines, Dataflow, Pub/Sub, Feature Store.
• Experience with Vertex AI Search, Agents, RAG solutions, or vector databases (e.g., Vertex Vector Search, Pinecone, Milvus).
• Experience deploying AI workloads on Kubernetes or microservices architectures.
• Google Cloud Professional certification (ML Engineer, Data Engineer, or Architect).
• Hands‑on experience with Vertex AI, Gemini APIs, or other cloud‑based AI/ML platforms.
• Strong Python development skills and familiarity with ML frameworks (TensorFlow, PyTorch, scikit‑learn).
• Strong understanding of LLMs, embeddings, vector search, and generative AI techniques.

Preferred Experience

• Master’s degree.
• Prior federal or regulated industry experience (FedRAMP, HIPAA, NIST).
• Knowledge of Responsible AI, bias mitigation, and model interpretability.
• Familiarity with GCP operational tools (IAM, KMS, Logging/Monitoring, VPC, Cloud Storage).
• Exposure to AWS/Azure equivalents or third‑party tools (security, observability, DevOps).

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, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia . 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.

The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $103,200 - $196,400 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, gen

Accenture Federal Services offers a wide variety of benefits.