AI Solutions Architect

The role

The Full Stack LLM Development Senior Manager leads the design, development, and deployment of enterprise-grade large language model applications. This role oversees cross-functional teams building end-to-end AI solutions from model fine-tuning to production-scale deployment.

What you will do

• Lead and mentor a team of 3 ML engineers and full-stack developers
• Define technical roadmaps for LLM application development
• Facilitate sprint planning, code reviews, and architecture design sessions
• Manage resource allocation, project timelines, and stakeholder communications
• Architect full-stack LLM solutions including frontend interfaces, API layers, vector databases, and model orchestration
• Oversee engineering strategies, RAG implementations, and fine-tuning initiatives
• Design scalable microservices architectures integrating LLM APIs
• Implement MLOps pipelines for model versioning, A/B testing, monitoring, and continuous deployment
• Optimize inference performance, cost management, and latency reduction strategies
• Build production applications using Python, TypeScript/JavaScript, and modern frameworks

Required qualifications

• 8 years in software engineering or data science with 3 years in leadership roles
• 3 years hands-on experience with LLMs and/or generative AI applications
• Experience deploying production AI/ML systems at scale
• Experience managing cross-functional technical teams
• Proficiency with ML frameworks (e.g.: PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex)
• Experience with vector databases (e.g.: Pinecone, Weaviate, ChromaDB), embeddings, and/or semantic search
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes)
• Familiarity with CI/CD, infrastructure-as-code, and/or MLOps tools (MLflow, Weights & Biases)
• Bachelor's degree in Computer Science, Engineering, or related field
• Must have an active TS/SCI with polygraph

Nice to have

• Master's degree or PhD in Computer Science, AI/ML, or related discipline
• DoD 8140 Policy Framework
• Certifications in prompt engineering, LLM development, or AI ethics

Benefits

• Hands-on experience
• Certifications
• Industry training

Before you apply

• Must have an active TS/SCI with polygraph
• Applicants in the US must have work authorization that does not now or in the future require sponsorship of a visa
• Candidates currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible

About the company

Accenture Federal Services is a technology company within global Accenture that helps the US federal government. Its 13,000+ people work across defense, national security, public safety, civilian, and military health organizations.