<div class="content-intro"><div> <div> </div> <div>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. </div> <div> </div> <div>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. </div> <div> </div> <div>Join us to drive positive, lasting change that moves missions and the government forward!</div> <div> </div> </div></div><p>The Full Stack LLM Development Senior Manager leads the design, development, and deployment of enterprise-grade large language model applications. This strategic leadership role bridges technical innovation and business outcomes, overseeing cross-functional teams building end-to-end AI solutions from model fine-tuning to production-scale deployment. </p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Strategic Leadership & Team Management <ul> <li>Lead and mentor a team of 3 ML engineers and full-stack developers</li> <li>Define technical roadmaps for LLM application development aligned with business objectives</li> <li>Facilitate sprint planning, code reviews, and architecture design sessions</li> <li>Manage resource allocation, project timelines, and stakeholder communications</li> </ul> </li> <li>Technical Execution <ul> <li>Architect full-stack LLM solutions including frontend interfaces, API layers, vector databases, and model orchestration</li> <li>Oversee engineering strategies, retrieval-augmented generation (RAG) implementations, and fine-tuning initiatives</li> <li>Design scalable microservices architectures integrating LLM APIs (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI)</li> <li>Implement MLOps pipelines for model versioning, A/B testing, monitoring, and continuous deployment</li> <li>Optimize inference performance, cost management, and latency reduction strategies</li> </ul> </li> <li>Development & Innovation <ul> <li>Build production applications using Python, TypeScript/JavaScript, and modern frameworks (React, Next.js, FastAPI)</li> <li>Develop evaluation frameworks for model performance, safety, and alignment</li> <li>Implement guardrails, content filtering, and responsible AI practices</li> <li>Prototype emerging capabilities including function calling, agents, and multi-modal applications</li> </ul> </li> <li>Collaboration & Governance <ul> <li>Partner with product managers, external stakeholders, and security teams on requirements and compliance</li> <li>Present technical proposals and demos to executive leadership</li> <li>Establish coding standards, documentation practices, and knowledge-sharing initiatives</li> <li>Manage vendor relationships and evaluate emerging LLM technologies</li> </ul> </li> </ul> <p><strong>Here's What You Need</strong></p> <ul> <li>8 years in software engineering or data science with 3 years in leadership roles</li> <li>3 years hands-on experience with LLMs and/or generative AI applications</li> <li>Experience deploying production AI/ML systems at scale</li> <li>Experience managing cross-functional technical teams </li> <li>Proficiency with ML frameworks (e.g.: PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex)</li> <li>Experience with vector databases (e.g.: Pinecone, Weaviate, ChromaDB), embeddings, and/or semantic search</li> <li>Experience with cloud platforms (e.g.: AWS, Azure, GCP) and containerization (e.g.: Docker, Kubernetes)</li> <li>Familiarity with CI/CD, infrastructure-as-code, and/or MLOps tools (MLflow, Weights & Biases)</li> </ul> <p><strong>Bonus Points If You Have</strong></p> <ul> <li>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)</li> <li>DoD 8140 Policy Framework Relevant certifications in prompt engineering, LLM development, or AI ethics Core Competencies</li> <li>Deep knowledge of LLM architectures, transformer models, and prompt engineering techniques</li> <li>Strategic thinking with ability to translate business needs into technical solutions</li> <li>Strong communication skills for technical and non-technical audiences</li> <li>Experience with Agile/Scrum methodologies and project management</li> <li>Understanding of data privacy, security, and AI governance frameworks</li> <li>Passion for staying current with rapidly evolving AI/ML landscape </li> </ul> <p><strong>Security Requirements</strong></p> <ul> <li>Must have an active TS/SCI with polygraph </li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p> </p> <p><span class="TextRun SCXW225111203 BCX