Summary
✨ AI‑Generated
An AI engineering manager is sought to lead a cross-functional development and QA team while owning technical architecture and delivery outcomes. The role is both strategic and hands-on, covering LLM integration, scalable AI architectures, orchestration, reliability, observability, cost efficiency, and responsible AI governance.
Highlights
Strategic and hands-on leadership opportunity combining team management, AI architecture, technical delivery, system reliability, security, and the development of an AI-first engineering culture.
Description
Description
Anju Software AI Engineering Manager
The AI Engineering Manager leads a cross-functional team (Development & QA) and owns technical architecture, delivery outcomes, AI-enabled system design and driving an AI first culture among your team.
This role is both strategic and hands-on.
It requires strong expertise in modern AI frameworks, applied AI architectures, and scalable system design.
The manager is accountable for delivering stable, secure, AI-powered capabilities — not just managing execution.
Core Responsibilities
Technical Leadership & Architecture
Own product architecture, including AI/LLM-integrated components Design scalable, secure, and maintainable systems Lead decisions involving:LLM integration (OpenAI, Azure OpenAI, etc.)RAG architectures and vector databasesAI orchestration frameworks (LangChain, Semantic Kernel, LlamaIndex) Ensure system reliability, observability, and cost efficiency Establish AI governance and safe usage practices
AI Framework & Methodology Expertise
Apply modern AI methodologies, including:Retrieval-Augmented Generation (RAG)Prompt engineering and evaluationAI output validation and guardrailsHuman-in-the-loop workflowsModel monitoring and performance evaluation Drive experimentation, A/B testing, and telemetry-based decision making
Team Leadership
Lead and mentor developers and QA engineers Raise AI literacy across the team Establish AI-native coding and review standards Balance speed, quality, and architectural integrity
Delivery & Outcome Ownership
Own predictable, high-quality releases Ensure AI features are measurable, validated, and production-ready Act as technical escalation point Drive cross-team alignment with Product, Data, and DevOps
AI-Driven Engineering Excellence
Leverage AI-assisted development tools to improve velocity Optimize AI cost-performance tradeoffs Embed automation into testing and CI/CD pipelines
Qualifications
7+ years software engineering experience, 2+ years in technical leadershipHands-on experience building and deploying AI-enabled systemsStrong knowledge of:LLM integration and prompt designRAG architectures and vector searchAI orchestration frameworksCloud platforms (Azure, AWS, or GCP)Experience designing scalable distributed systems
Preferred
Experience in regulated industriesAI governance and compliance knowledgeModel lifecycle management and monitoring tools
About Anju Software
Anju Software delivers end-to-end solutions for the life sciences industry, supporting clinical trials, medical affairs, and scientific data management with precision, compliance, and operational rigor.
Our products help pharmaceutical, biotech, and medical device companies bring therapies to market faster and more efficiently.
Anju is part of Valsoft Corporation, a global acquirer and operator of vertical market software businesses.
Valsoft invests with a long-term mindset, empowering each company to operate autonomously while benefiting from shared capital and operational expertise.
We are entering a new phase of growth, focused on embedding AI deeply into our systems and workflows.
We are excited to add talent who will help lead our transformation into a truly agentic, automation-driven organization that redefines how work gets done in life sciences.
