AstraZeneca
Healthcare
LeadConsultant-BespokeEngineering&AI
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Consultant - Bespoke Engineering & AI at AstraZeneca. Skills: AI-first systems, Agentic AI, Cloud-native AI architectures, AI-augmented SDLC. Architect AI-first systems. Guide technical evolution”
What You'll Achieve.
Accelerate discovery of medicines; Accelerate delivery of medicines; Turn enterprise data into knowledge; Turn enterprise data into business value; Scale AI safely; Scale AI sustainably; Build systems that matter
Industry & Context.
Root cause analysis; Troubleshooting; Data-driven decision making
What They're Looking For.
Must Have
10+ years in software, 5+ years in Technical Lead role, Python (FastAPI, Flask, or Django), React (TypeScript), Hands-on LLM integration, Prompt engineering, Orchestration frameworks, SQL/NoSQL skills, Vector Databases, Expert-level Azure or AWS experience, IaC (Terraform/icep), AI-ready CI/CD pipelines, REST expertise, Event-driven architectures expertise, MCP protocol expertise
Nice to Have
Experience integrating AI agents with Workday (HCM), Experience integrating AI agents with Power Platform, Familiarity with compliance-aware development, Mastery of Docker, Mastery of Kubernetes, Advanced understanding of secrets management, Advanced understanding of Security for AI
What You'll Do.
Architect AI-first systems
Guide technical evolution
Ensure engineering quality
Ensure solution scalability
Ensure delivery throughput
Provide hands-on leadership
Define engineering patterns
Uphold engineering patterns
Lead move to Agentic workflows
Ensure custom solutions are AI-first
Implement Model Context Protocol
Reinstate structured code reviews
Establish quality gates
Mentor junior engineers
Upskill junior engineers
Optimize cloud architectures
Balance model selection
Balance inference costs
Partner with Business partners
Scope work using semantic search
How You'll Work.
Team & Collaboration
Close partnership with product teams; Close partnership with delivery teams
Full Job Description
**Introduction to role:** Are you ready to architect AI-first systems that accelerate the discovery and delivery of life-changing medicines? You will guide the end-to-end technical evolution of a high-impact portfolio of custom enterprise solutions. This strategic role integrates traditional engineering rigor with pioneering **Agentic AI capabilities** to drive innovation. The Lead is accountable for engineering quality, solution scalability, and delivery throughput, providing hands-on leadership across full-stack technologies and **cloud-native AI architectures**. Serving as the primary architect of the **AI-augmented SDLC** , the incumbent establishes formal standards while shaping the future of "Intelligent Bespoke" applications in close partnership with product and delivery teams. If you enjoy turning enterprise data into actionable knowledge and measurable business value, this role is for you! **Accountabilities:** * **Architectural Leadership & AI Strategy:** Define and uphold engineering patterns for Python, React, and cloud services. Lead the move from traditional logic to **Agentic workflows** , ensuring custom solutions are "AI-first" by design. * **AI-Augmented SDLC:** Drive the integration of AI throughout the software lifecycle. Implement **Model Context Protocol (MCP)** to bridge the gap between local development environments and LLM-based assistants. * **Engineering Quality & Governance:** Reinstate structured code reviews with a focus on **AI Governance**. Establish quality gates that cover not just security and performance, but also **LLM observability** , hallucination mitigation, and bias detection. * **Agentic Productivity:** Mentor and upskill junior engineers on **Agentic AI** tools (GitHub Copilot, Cursor, Agent Builder). Shift the team’s focus from manual boilerplate to high-level system design. * **FinOps for AI:** Optimize cloud architectures for cost-efficiency. Lead AI FinOps by balancing token usage, model selection (SMMs vs. LLMs), and
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