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Description
As Agentic AI Engineer, you will design, build, and operationalize agentic AI capabilities to increase automation, improve data quality, and accelerate decision-making within medical imaging clinical trials. This role focuses on building AI agents that can reliably execute workflows such as intake and validation of imaging data, metadata reconciliation, protocol-driven checks, quality control support, and structured extraction from multi-modal artifacts (DICOM, non‑DICOM, reports, PDFs). In parallel, the role will help transform the company’s Product Development Life Cycle (PDLC) into an AI-driven lifecycle—enabling agentic workflows from Product Discovery (e.g., requirements synthesis, research, backlog shaping) to Delivery and Deployment (e.g., test generation, release readiness, documentation automation) through Production Operations (e.g., incident triage, observability insights, automated runbooks), while ensuring safety, compliance, traceability, and human oversight.
Key Responsibilities
Cross functional collaborations
Partner with Product, Imaging Ops, Data Engineering, QA, Security, and Regulatory/Quality to identify high-value automation opportunities and define agentic AI use cases
Translate clinical-trial imaging workflows and PDLC processes into agent-ready task models (inputs, outputs, constraints, guardrails, acceptance criteria)
Work with SMEs to define quality rubrics, evaluation datasets, and human review workflows to validate agent outputs
Support change management: help teams adopt agentic features with clear UX patterns, onboarding, and documentation
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Technical ownership
Promote engineering best practices for agentic systems: reliability, observability, evaluation, reproducibility, and secure-by-design patterns
Contribute to internal standards for: prompt/version control, agent tools/plugins, retrieval configuration, grounding/citations, and human-in-the-loop review
Participate in design reviews and provide guidance on selecting frameworks and architectures
Coach peers through code reviews, pairing, demos, and knowledge-sharing sessions
Algorithm and Software Development
Build agentic workflows (multi-step reasoning + tool use) that support imaging trial processes such as:
data intake and validation (DICOM/non‑DICOM), metadata consistency checks
protocol-driven QC support and discrepancy detection
data completeness checks and structured issue creation
automated summarization of imaging packets and context generation for reviewers
Implement retrieval-augmented generation (RAG) patterns grounded in controlled knowledge sources (SOPs, protocols, specs, runbooks), with traceability
Develop evaluation harnesses for agent behavior: task success rate, hallucination/grounding checks, regression testing, and bias/failure-mode analysis
Contribute production-quality code (APIs, services, pipelines) with strong testing, documentation, and maintainability
Deployment and integration (MLOps)
Package and deploy agentic services using approved cloud and SDLC patterns: CI/CD, infrastructure-as-code, secret management, and environment promotion
Implement guardrails and controls: access control, tool permissions, sandboxing, content filtering, rate limits, and audit logging
Build observability: traces, structured logs, evaluation telemetry, cost monitoring, and error analytics (agent runs, tool calls, retrieval hits, model performance)
Ensure safe production operations: rollback strategies, feature flags, canary releases, and incident playbooks
Innovation & Research application
Stay current on agentic AI patterns (planning, tool use, memory, multi-agent coordination, structured outputs) and evaluate feasibility for regulated workflows
Prototype and validate new capabilities quickly, then harden into production-ready features
Run experiments comparing models, prompts, retrieval strategies, and agent architectures; document results and recommendations
Identify opportunities to standardize and reuse agent components across clinical imaging workflows and PDLC automation
Other
Carry out any other reasonable duties as requested