AI & ML engineer _3055

Overall Objectives of Job: (If multiple sections, accord weightage to each section)

We are seeking a hands-on AI Engineer  to act as the technical core of the AI Factory squad. A generalist developer who builds in development and, ideally, production environments, the FDE works directly with local and global domain experts to bring AI faster into business processes. The FDE uses existing reusable building blocks (MVS) where they fit and builds custom where they do not, operating effectively without complete specifications. Moving between OEs, stacks, landscapes, and implementation-partner setups, the FDE is spec-driven and prompt-first, ships production-ready code, hands off cleanly, and feeds recurring patterns back into the AI Building Block catalogue so that one OE's solution lifts the next.

Qualifications & Experience

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 4-6 years of overall engineering experience, with strong hands-on platform, infrastructure, or developer-platform building.
• Hands-on software development experience (junior to senior); a generalist across backend, frontend, data, ops, and agent frameworks.
• Demonstrated ability to drop into an unfamiliar codebase, domain, or partner setup and ship working software quickly.
• Comfortable building in both development and production environments, and working without complete specifications.
• Hands-on experience with GenAI / agentic AI development – LLM APIs, prompt engineering, RAG, and agentic frameworks (e.g. LangChain, LangGraph, Semantic Kernel, AutoGen).
• Experience integrating across multiple stacks, cloud landscapes (Azure, AWS, or GCP), and third-party or partner systems.
• Spec-driven, prompt-first working style with clean engineering practices, clean hand-offs, and a habit of turning solutions into reusable building blocks.

Role & Responsibilities

• Act as the technical core of the AI Factory squad, building AI solutions in development and, ideally, production.
• Work directly with local and global domain experts to bring AI faster into business processes.
• Use existing reusable building blocks (MVS) where they fit and build custom where they do not.
• Operate effectively without complete specifications, using a spec-driven, prompt-first approach.
• Move between OEs, stacks, landscapes, and implementation-partner setups as engagements require.
• Build production-ready solutions and hand off cleanly before moving to the next OE engagement.
• Feed recurring patterns back into the MVS / AI Building Block catalogue so each OE's solution lifts the next.
• Reuse what already exists in the building-block catalogue rather than rebuilding from scratch.
• Form a half-pizza team with the AI Engagement Manager for each OE engagement.
• Apply responsible-AI, security, and quality practices in everything that ships.

Key Result Areas

• Production-ready AI solutions shipped across OE engagements.
• Clean, timely hand-offs that move smoothly from build to run.
• New reusable patterns contributed to the MVS / AI Building Block catalogue, and reuse of existing ones.
• Speed to first working solution when dropping into a new codebase, domain, or partner setup.
• Quality, security, and responsible-AI posture of shipped code.

Weightage: 100%

PART 3

Qualification & Experience

Refer to the Qualifications & Experience section under Part 2 - Overall Objectives of Job.

PART 4

Skills/Specific Tasks/Activities performed (choose groups that apply to your role)
Describe tasks in a short sentence if required

Group	Task responsibility mark S/T/O & % of time spend on task group S – Done by Self T – For the team O – For organization
Hands-On Solution Build & Delivery Build AI solutions in development and production, using building blocks where they fit and custom code where they do not. Integrate across stacks, cloud landscapes, and partner systems while operating without complete specifications. Ship production-ready code and hand off cleanly to run.	S
Functional / Domain (e.g. Underwriting, Claims Mgmt.) Insurance	S
Business / Client Engagement (e.g. Marketing, Consulting) Collaborate with stakeholders to define project goals, scope, and deliverables. Develop project plans, timelines, and resource allocation strategies. Ensure projects are executed according to plan, meeting quality standards and deadlines. Monitor and report on project progress, identifying and addressing any deviations.
People Engagement (e.g. Hiring, Training etc.) Pair with developers and domain experts across OEs, share reusable building blocks and patterns with peers, and support knowledge transfer at hand-off. Provide technical guidance, review code, and assist team members in problem-solving. Manage team assignments, workload distribution, and performance evaluations.
Administrative / Compliance (e.g. Documentation, Quality etc.) Proactively identify potential risks and issues in projects and implement mitigation strategies. Address technical challenges and conflicts that may arise during development, promoting a problem-solving mindset. Drive process improvements and efficiency initiatives within the development lifecycle.
Technical Leadership Guide development and engineering teams on implementation best practices. Evaluate emerging technologies and assess their fit for business requirements. Develop reusable design patterns and reference architectures.

Good to have : Having a basic understanding or exposure to AI tools would be a plus.Familiarity with basic AI tools is considered an advantage.Basic knowledge or experience with AI tools will be beneficial.Exposure to AI tools, even at a basic level, is a value-add.A fundamental grasp of AI tools will be an added benefit.

Your benefits:We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroadWe believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location)From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fosteredFlexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach
What We Offer
About Allianz Technology
With its headquarters in Munich, Germany, Allianz Technology is Allianz's global IT service provider and delivers IT solutions that drive the group's digitalization. With more than 11,000 employees in over 20 countries around the world, Allianz Technology is tasked with running, optimizing, transforming, and innovating the infrastructure, applications, and services together with Allianz companies to co-create the best customer experience. We service the entire spectrum of digitalization – from one of the industry's largest IT infrastructure projects that spans data centres, networks, and security, to application platforms ranging from workplace services to digital interaction. In short: We deliver comprehensive end-to-end IT solutions for Allianz in the digital age. We are the backbone of Allianz.

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. 

At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust. 

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. 

Join us. Let's care for tomorrow.