Senior AI Engineering Manager

Anaplan; Greater London; On-site; GBP 140,000 - 180,000; Full time

Job summary

Anaplan seeks a hands-on Senior Engineering Manager to build and lead our Enterprise Grade AI Platform. You will drive the execution of our conversational AI and agentic AI roadmap, managing a team of engineers while remaining hands-on yourself.

You will mentor a 5–8 person AI team, own delivery roadmaps, and drive end-to-end features with strong emphasis on testing, CI/CD, and production readiness.

Qualifications

• Experience with agentic frameworks and autonomous agent architectures.
• Strong project management skills with Agile/Scrum.
• Hands-on experience building and deploying AI applications in production.
• Excellent communication and stakeholder management abilities.
• Proficiency in Python and modern software development practices.
• Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
• Mentor engineers and build cohesive, productive teams.
• Proven track record delivering complex technical projects on time.

Responsibilities

• Build and lead a team of AI engineers (5-8) and drive delivery velocity.
• Own the team's delivery roadmap and prioritise features with product management.
• Establish engineering best practices, testing strategies, and deployment patterns.
• Lead sprint planning, design reviews, and retrospectives.
• Collaborate with AI Solutions Architects to translate vision into plans.
• Build and maintain CI/CD pipelines for AI applications and prompt regression tests.
• Partner with platform teams to integrate AI features with core infrastructure.
• Communicate progress, risks, and technical decisions to leadership.

Skills

Leadership

AI engineering

Python

Agile/Scrum

Production experience

LLM APIs

Prompt engineering

Agentic AI

Communication

Stakeholder management

Distributed systems

Microservices

Cloud-native

Tools

CI/CD pipelines

RAG systems

Vector databases

Semantic search

Job description

• We're looking for a hands-on Senior Engineering Manager to build and lead our Enterprise Grade AI Platform. You'll drive execution of our conversational AI, Generative and agentic AI roadmap, managing a team of talented engineers while remaining hands-on yourself
• Lead, mentor, and grow a team of 5-8 AI engineers, fostering a culture of technical excellence, innovation, and delivery
• Drive end-to-end execution of conversational AI features that enable users to interact with Anaplan models through natural language
• Oversee the development of agentic AI systems that can autonomously analyse data, generate insights, and execute planning workflows
• Own the team's delivery roadmap, working closely with product management to prioritise features and manage technical trade-offs
• Establish engineering best practices for AI development, including testing strategies, evaluation frameworks, and deployment patterns
• Lead sprint planning, technical design reviews, and retrospectives to ensure consistent delivery velocity and quality
• Collaborate with AI Solutions Architects to translate architectural vision into executable engineering plans
• Build and maintain CI/CD pipelines for AI applications, including automated testing and prompt regression suites
• Partner with platform teams to ensure AI features integrate seamlessly with Anaplan's core infrastructure
• Communicate progress, risks, and technical decisions to senior leadership and cross-functional stakeholders

This role requires both exceptional leadership skills and the ability to roll up your sleeves and solve complex technical problems

• Experience with agentic frameworks and autonomous agent architectures
• Strong project management skills with experience using Agile/Scrum methodologies
• Strong hands-on experience building and deploying AI applications in production
• Excellent communication and stakeholder management abilities
• Proficiency in Python and modern software development practices (testing, code review, CI/CD)
• Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns
• Demonstrated ability to mentor engineers and build cohesive, productive teams
• Proven track record of delivering complex technical projects on time with high quality
• Software engineering experience while leading engineering teams
• Experience leading teams in fast-growing startups or enterprise software companies
• Experience with RAG systems, vector databases, and semantic search
• Knowledge of financial planning, analytics, or business intelligence domains
• Familiarity with model fine-tuning, evaluation, and continuous improvement workflows
• Background in distributed systems, microservices, or cloud-native architectures