AI Solutions Architect
Job description
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.
Key Responsibilities
- Strategic Leadership & Team Management
- 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
- Technical Execution
- 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
- Development & Innovation
- Build production applications using Python, TypeScript/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
- Collaboration & Governance
- 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
Here's What You Need
- 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)
Bonus Points 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 Core Competencies
- 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
Security Requirements
- Must have an active TS/SCI with polygraph
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. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
Skills mentioned
- Agile
- AI
- API
- AWS
- Azure
- Chromadb
- CI Cd
- Cloud
- Code Review
- Containerization
- Data Privacy Law
- Data Science
- Docker
- Embeddings
- Fine Tuning
- GCP
- Generative AI
- Governance
- Infrastructure As Code
- Kubernetes
- Langchain
- Llamaindex
- LLM
- Machine Learning
- Mlflow
- Mlops
- Openai
- Pinecone
- Project Management
- Prompt Engineering
- PyTorch
- Rag
- Reporting & Documentation
- Scrum
- Semantic Search
- Team Leadership
- TensorFlow
- TypeScript
- Vector Databases
- Weaviate

Accenture Federal Services is dedicated to empowering the U.S. federal government to navigate complex challenges and achieve superior outcomes. Our customers, including every cabinet-level department and 30 of the largest federal organizations, face the critical task of modernizing their operations to better serve the nation. We understand that legacy systems and technological debt can hinder their ability to deliver agile, responsive, and secure digital services. That's why we bring the full force of proven commercial innovation, advanced technology, and artificial intelligence to address their most pressing mission-critical priorities in national security, defense, public safety, civilian services, and military health. Our clients are striving to build a digital core that is not only smart and secure but also resilient enough to adapt to future disruptions. We partner with them to transform bold ideas into breakthrough results. Whether it's harnessing the power of data and AI to gain actionable insights, migrating to the cloud for true agility, or fortifying cybersecurity defenses, our focus is on delivering tangible value and efficiency. We help federal leaders radically reset their approach to problem-solving, enabling them to act with speed and certainty. By simplifying and streamlining operations, we help drive out costs and accelerate the transition from outdated infrastructure to powerful new platforms. Ultimately, our goal is to help create lasting value for their workforce, customers, and partners, making a tangible difference for the country and our communities.
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