AI Solutions Architect

• Lead and mentor a team of 3 ML engineers and full-stack developers
• Define technical roadmaps for LLM application development aligned with business objectives
• 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, retrieval-augmented generation (RAG) implementations, and fine-tuning initiatives
• Design scalable microservices architectures integrating LLM APIs (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI)
• 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, Type Script/JavaScript, and modern frameworks (React, Next.js, FastAPI)
• Develop evaluation frameworks for model performance, safety, and alignment
• Implement guardrails, content filtering, and responsible AI practices
• Prototype emerging capabilities including function calling, agents, and multi-modal applications

• Partner with product managers, external stakeholders, and security teams on requirements and compliance
• Present technical proposals and demos to executive leadership
• Establish coding standards, documentation practices, and knowledge-sharing initiatives
• Manage vendor relationships and evaluate emerging LLM technologies

• 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, Tensor Flow, Hugging Face, Lang Chain, Llama Index)
• 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)

• If you have Bachelor's degree in Computer Science, Engineering, or related field (required)
• Master's degree or PhD in Computer Science, AI/ML, or related discipline (strongly preferred)
• DoD 8140 Policy Framework
• Relevant certifications in prompt engineering, LLM development, or AI ethics

• Deep knowledge of LLM architectures, transformer models, and prompt engineering techniques
• Strategic thinking with ability to translate business needs into technical solutions
• Strong communication skills for technical and non-technical audiences
• Experience with Agile/Scrum methodologies and project management
• Understanding of data privacy, security, and AI governance frameworks
• Passion for staying current with rapidly evolving AI/ML landscape

Must have an active TS/SCI with polygraph

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…