The Role
Leads a team developing enterprise-grade LLM applications, defining technical roadmaps and architecting full-stack AI solutions. Oversees RAG, fine-tuning, model orchestration, MLOps, evaluation, guardrails, and production deployment. Builds applications with Python and TypeScript/JavaScript, manages cloud and microservices architectures, optimizes performance and cost, and partners with product, security, vendors, and executives on governance, compliance, and innovation.
Summary Generated by Built In
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.
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.
Join us to drive positive, lasting change that moves missions and the government forward!
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.
The pay range for 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 is:
$139,300—$269,000 USD
What We Believe
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 great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.
Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
Requesting An Accommodation
Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Skills Required
- At least 8 years of experience in software engineering or data science
- At least 3 years of leadership experience
- At least 3 years of hands-on experience with LLMs or generative AI applications
- Experience deploying production AI/ML systems at scale
- Experience managing cross-functional technical teams
- Proficiency with ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, or LlamaIndex
- Experience with vector databases, embeddings, or semantic search
- Experience with cloud platforms such as AWS, Azure, or GCP
- Experience with containerization such as Docker or Kubernetes
- Familiarity with CI/CD, infrastructure-as-code, or MLOps tools
- Bachelor's degree in Computer Science, Engineering, or a related field
- Master's degree or PhD in Computer Science, AI/ML, or a related discipline
- Active TS/SCI with polygraph security clearance
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The Company
What We Do
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture LLP. It empowers US federal agencies to reinvent their operations and deliver missions faster using technology and AI. By leveraging mission expertise and commercial innovation, the company provides solutions in cloud, data, and cybersecurity to help the government make the nation stronger, safer, and more resilient.
