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AI Solutions Architect

Accenture Federal ServicesColumbia, MD57759672 - AFS Advanced AI
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Salary
$139,300 — $269K USD
Job type
Full-time
Experience
Senior · 8+ yrs
Posted
8 Oct 2026
Status
Open · checked 8d ago

About this role

Based in Columbia, MD, this role as an AI Solutions Architect at Accenture Federal Services involves leading large language model initiatives and suits professionals with extensive software engineering and technical leadership experience. The position focuses on shaping enterprise-grade artificial intelligence applications that support federal agencies and national security missions.

Role Overview

The AI Solutions Architect position sits within Accenture Federal Services, a technology organization supporting defense, national security, civilian, and military health agencies. This leadership role connects technical strategy with functional business needs by guiding cross-functional personnel through end-to-end artificial intelligence production cycles.

Key Responsibilities

Direct and mentor a team consisting of three machine learning engineers and full-stack developers.
Establish technical strategies for large language model applications that align with organizational objectives.
Guide sprint planning sessions, architecture reviews, and code evaluations.
Oversee resource distribution, timeline management, and stakeholder communication.
Design end-to-end solutions that incorporate frontend user interfaces, application programming interfaces, vector databases, and model orchestration frameworks.
Implement retrieval-augmented generation methodologies, fine-tuning initiatives, and scalable microservices architectures utilizing external application programming interfaces from OpenAI, Anthropic, AWS Bedrock, and Azure OpenAI.
Construct machine learning operations pipelines for version control, testing protocols, monitoring, and continuous deployment.
Build applications utilizing Python, TypeScript, JavaScript, React, Next.js, and FastAPI.
Formulate model evaluation frameworks, content filtering guardrails, and responsible artificial intelligence protocols.
Partner with product teams, security personnel, and executive leadership while managing vendor relationships.

Requirements

Minimum of eight years of professional background in software engineering or data science.
At least three years of experience in leadership positions supervising technical personnel.
Three years of practical involvement working with large language models or generative artificial intelligence applications.
Background deploying production-scale artificial intelligence and machine learning systems.
Proficiency utilizing machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, and LlamaIndex.
Hands-on familiarity working with vector databases like Pinecone, Weaviate, and ChromaDB, alongside embeddings or semantic search.
Experience integrating cloud computing platforms including AWS, Azure, or GCP alongside containerization tools like Docker and Kubernetes.
Familiarity with continuous integration pipelines, infrastructure-as-code, and machine learning operations utilities such as MLflow or Weights & Biases.
Active TS/SCI security clearance with a polygraph.

Nice to Have

Bachelor degree in Computer Science, Engineering, or a related field.
Master degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.
Relevant certifications concerning prompt engineering, artificial intelligence development, or ethics, along with the DoD 8140 Policy Framework.

Skills and Tools

Python
TypeScript
JavaScript
React
Next.js
FastAPI
PyTorch
TensorFlow
Hugging Face
LangChain
LlamaIndex
Pinecone
Weaviate
ChromaDB
AWS Bedrock
Azure OpenAI
OpenAI
Anthropic
Docker
Kubernetes
MLflow
Weights & Biases

Salary and Benefits

Base salary range between $139,300 and $269,000 USD applicable to specific geographic regions including Maryland, California, Colorado, and others.
Access to hands-on experience, professional certifications, and industry training programs.
Comprehensive employee benefit offerings provided by the company.

About the Company

Accenture Federal Services operates as a technology company within global Accenture, uniting over 13,000 personnel dedicated to helping the United States federal government execute defense, national security, public safety, and civilian health missions. Recognized as a top workplace, the organization maintains a collaborative community focused on diversity, inclusion, and empowering employees through continuous learning.

How to Apply

Interested candidates should apply directly on the official Accenture Federal Services careers page as applications are accepted on an ongoing basis.

Skills and tech stack

PythonTypeScriptJavaScriptReactNext.jsFastAPIPyTorchTensorFlowHugging FaceLangChainLlamaIndexPineconeWeaviateChromaDBAWS BedrockAzure OpenAIOpenAIAnthropicDockerKubernetesMLflowWeights & BiasesAWSAzureGCPLLMLLMsRAGMLOpsFine-tuningPrompt EngineeringGenerative AI

Questions candidates ask

What security clearance is required for this position?

Candidates must possess an active TS/SCI security clearance with a polygraph.

What is the salary range for the AI Solutions Architect role?

The base pay range for eligible locations such as Maryland, California, and Colorado is $139,300 to $269,000 USD, with exact compensation varying based on experience, location, and skill set.

How many years of total experience are required?

Applicants need a minimum of 8 years of experience in software engineering or data science, which must include 3 years in leadership roles and 3 years of practical work with large language models or generative AI.

What educational background is preferred?

A bachelor degree in Computer Science, Engineering, or a related field is required, while a master degree or PhD in Computer Science, AI/ML, or a related discipline is strongly preferred.

Is there a fixed application deadline?

No, Accenture Federal Services accepts applications on an ongoing basis with no fixed deadline.

Ready to apply?

The application is on the official Accenture Federal Services careers page.

Apply on company site