The work: As an AI Integration Analyst, you will help build and deliver AI-enabled solutions that support mission needs and improve user experience. In this role, you'll work closely with product owners, engineers, data/AI teams, and security/compliance partners to translate requirements into functional features, integrate AI components into existing systems, and ensure solutions are reliable, safe, and aligned with organizational standards.
This is a growth-oriented role suited for someone who is hands-on, curious, and eager to deepen their expertise in applied AI development and integration.
Key Responsibilities:
- Translate stakeholder needs into clear technical requirements, user stories, and acceptance criteria.
- Collaborate with engineering and data teams to integrate AI components (LLMs, RAG, agents, analytics) into applications and workflows.
- Support MVPs, pilots, and iterative releases; help run experiments, evaluate results, and incorporate feedback.
- Assist in implementing guardrails such as filtering, citation pipelines, prompt versioning, and basic human-in-the-loop flows.
- Contribute to evaluation processes by helping define and measure quality, safety, latency, and reliability metrics.
- Ensure integrations comply with security, privacy, and policy requirements, document controls for audit readiness.
- Troubleshoot issues, participate in post-incident reviews, and help improve system reliability.
- Create templates, checklists, and lightweight playbooks that scale across teams.
- Work within hybrid, restricted, or on-prem environments and understand constraints that impact architecture and deployment.
- Communicate progress clearly to project leads and contribute to decision-making with data-backed input.
Here is what you need:- US Citizen, no dual citizenship (Public Trust eligible)
- Experience integrating or supporting AI- or data-powered features within software products or internal tools.
- Familiarity with backlog management, writing user stories, defining KPIs, and contributing to iterative release cycles.
- Practical understanding of privacy/security concepts and how to apply guardrails within product workflows.
- Comfortable working with engineering, data/AI, and security/compliance partners in cross-functional settings.
- Ability to understand and discuss topics such as LLM orchestration, RAG patterns, prompt design, and data pipelines at a technical-collaborator level.
- Demonstrated success contributing to solutions that reached production and delivered measurable impact.
Preferred experience:- Experience working in regulated or secure environments and familiarity with audit requirements or Zero Trust principles.
- Familiarity with cloud and data platforms such as Azure, AWS, GCP, Databricks, Snowflake, Palantir, vector search, or metadata/catalog tools.
- Exposure to LLM evaluation frameworks, prompt lifecycle practices, or agent-based workflows.
- Experience developing internal documentation, reusable templates, or lightweight standards.
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, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. 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, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is:
$86,400-$176,200 USD
