Senior Principal Intelligence Analyst, Agentic AI Integration to support AI team in Crystal City, VA, integrating AI-enabled tools into analytic workflows.
Locations (2)
Crystal City, Virginia, United States
Arlington, Virginia, United States
Compensation
The likely salary range for this position is $144,500 - $195,500.
Responsibilities
Integrate AI-enabled capabilities into intelligence analysis workflows to improve research, data discovery, pattern recognition, and reporting.
Assist analysts in using AI capabilities responsibly, including validation of outputs, source evaluation, confidence assessment, and analytic rigor.
Work with analysts, data scientists, engineers, and software developers to identify analytic pain points and design practical AI-assisted solutions.
Evaluate and test AI tools, prompts, workflows, and automation techniques for intelligence use cases.
Support development of repeatable analytic methodologies that combine subject matter expertise with AI-generated insights.
Requirements
Bachelor’s degree
Nice to have: Generative AI
Nice to have: LLMs
Nice to have: Prompt engineering
Nice to have: Retrieval-augmented generation (RAG)
Lead technical vision and architecture for AI/ML solutions across AstraZeneca’s commercial landscape, guiding advanced AI from traditional ML to generative and agentic AI, while influencing multi-functional teams and ensuring production readiness.
Responsibilities
Define and drive technical vision, roadmap and architecture for AI capabilities
Provide hands‑on technical leadership to project teams
Lead design of multi‑agent systems and LLM applications
Establish evaluation standards and quality gates
Drive model optimization and cost/latency improvements
Requirements
Bachelor's degree in Computer Science or related quantitative field
Master's or PhD in machine learning, computer science or related field
This role will be a key member of SCAN's Medical Economics Analytics team, responsible for identifying, quantifying, and helping capture total cost of care (TCOC) savings opportunities across the health plan's core medical cost management levers.
The role involves designing systems that improve accuracy, scalability, and resilience across a global cloud marketplace using Python, SQL, data engineering, and observability to support monthly billing operations.
Compensation
PHP 130,000 - 150,000 per month plus 30% night differential
Lead technical vision and architecture for AI systems in a senior individual-contributor role, guiding advanced AI across commercial, medical, and technology domains.
Responsibilities
Define and drive the technical vision, roadmap and architecture for traditional ML, Generative AI and agentic AI capabilities
Provide hands‑on technical leadership to project teams; set design direction, review architectures and code, and remove blockers on sophisticated problems
Lead the design of multi‑agent systems and LLM applications, including orchestration, tool use, memory, guardrails and human‑in‑the‑loop patterns
Establish standards for evaluation, including automated and human‑in‑the‑loop methods, benchmarking, and quality gates pre‑ and post‑release
Drive approaches to fine‑tuning, distillation and reinforcement learning to improve quality, cost and latency over off‑the‑shelf models
Requirements
Bachelor's degree in computer science, mathematics, statistics, engineering, physics, computational sciences or a related quantitative field
Nice to have: Master’s or PhD in machine learning, computer science or related field
Nice to have: reinforcement learning (RLHF, RLAIF)
Develop and maintain analytical workflows, data systems, and AI-enabled tooling for process monitoring, predictive modeling, and anomaly detection in cell therapy and biologics manufacturing.
Compensation
The annual base pay (or hourly rate of compensation) for this position ranges from $101,643.20 - $152,464.80. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles.
Responsibilities
Develop and maintain analytical workflows for multivariate process monitoring
Build and maintain data systems and analytical platforms
Support development of hybrid mechanistic and data-driven models
Translate statistical findings into actionable insights
Collaborate cross-functionally with R&D, MSAT, Manufacturing Operations, Quality, and IT
Requirements
Ph.D. in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Statistics, or related field
M.S. in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Statistics, or related field
B.S. in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Statistics, or related field
Nice to have: Cloud data systems (AWS, Snowflake, Databricks)
Nice to have: Interactive analytical applications (Streamlit, Dash)
A senior individual-contributor role acting as the technical authority guiding advanced AI across the commercial landscape—from traditional ML to Generative and agentic AI.
Responsibilities
Define and drive the technical vision, roadmap and architecture for traditional ML, Generative AI and agentic AI capabilities
Provide hands-on technical leadership to project teams; set design direction, review architectures and code, remove blockers
Lead the design of multi-agent systems and LLM applications, including orchestration, tool use, memory, guardrails and human-in-the-loop patterns
Establish standards for evaluation, including automated and human-in-the-loop methods, benchmarking, and quality gates
Drive approaches to fine-tuning, distillation and reinforcement learning (including RL from feedback)
Apply data science and analytical methods (such as segmentation, trend analysis, statistical modeling, and GenAI-enabled synthesis) to claims, clinical, and contract data to identify, size, and prioritize total cost of care (TCOC) savings opportunities.
Leverage strong health plan operations knowledge and business acumen to identify and prioritize total cost of care opportunities based on SCAN’s highest-value medical cost management levers.
Create requirements, test and validate analyses, communicate findings and savings opportunity sizing to Medical Economics, Finance, Network, and Clinical business partners, and support opportunity tracking through implementation.
Help shape and implement SCAN’s medical economics analytics and AI strategy in coordination with key stakeholders across the company.
Manage multiple projects at a time based on the priorities and delivery methodologies of the Medical Economics Analytics team, while also being a mentor to other analytics practitioners.
Requirements
Bachelors Degree in statistics, mathematics, computer science, or related field
Graduate or Advanced Degree in statistics, mathematics, computer science, or related field
Director, AI/MLNewAstraZeneca · Bangalore, India