AI Analyst

Job Title: AI Analyst

Location: Indianapolis, IN

Job Description

• Must Have Technical/Functional Skills
• 6 years of experience in a technical analyst, AI support, or systems configuration role.
• Hands-on experience working with LLMs (e.g., OpenAI, Anthropic Claude, AWS Bedrock) -configuration, API usage, and prompt engineering.
• Proficiency in Python for scripting, log parsing, and light automation.
• Practical AWS knowledge: navigating CloudWatch logs, Lambda, S3, and IAM to support troubleshooting.
• Strong analytical and problem-solving skills with attention to detail.
• Required Technologies: Gen-AI, AI Agent engineering, MLOps, MCP,Python, Angular/React/VueJs, NODEJS, AWS platform

Roles & Responsibilities

• Design and build end-to-end AI-powered applications to enhance Clinical Operations platforms.
• Develop and deploy AI capabilities (LLM applications, RAG pipelines, agent orchestration) to support clinical, regulatory, and business workflows.
• Integrate AI solutions into enterprise environments ensuring scalability, security, and compliance.
• Architect and implement integrations with various platforms and enterprise data ecosystems using API-first and microservices-based approaches.
• Design and optimize data models, pipelines, and transformations to ensure high-quality, reliable, and governed datasets.
• Ensure alignment with enterprise data standards, metadata management, and traceability requirements.
• Embed Responsible AI principles, ensuring fairness, transparency, explainability, and regulatory compliance (e.g., GxP, data privacy).
• Establish governance, auditability, and validation processes aligned with clinical standards.
• Develop production-grade code, perform code reviews, and ensure engineering best practices.
• Monitor and optimize system performance, scalability, and reliability across applications and pipelines.
• Identify opportunities to improve system reliability, response quality, and cost efficiency.
• Troubleshoot complex issues across data, infrastructure, and AI layers.
• Leverage cloud platforms (AWS/Azure) and modern DevOps/MLOps practices to enable secure, scalable deployments.
• Lead end-to-end delivery from ideation and prototyping to full-scale production rollout.
• Partner with stakeholders to convert concepts into production-ready solutions delivering measurable business value.
• Collaborate with cross-functional teams to identify high-impact opportunities aligned with business priorities.
• Provide technical leadership, guiding architecture decisions, best practices, and problem resolution.
• Troubleshoot production issues by reviewing AWS logs (CloudWatch, Lambda, S3) and coordinating resolution.