Senior AI Engineer (f/m/d) at Allianz Technology

Frankfurt, Hesse, Germany -

Full Time

Start Date

Immediate

Expiry Date

20 Dec, 25

Salary

0.0

Posted On

21 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Generative AI, MLOps, LLMOps, React, TypeScript, Node.js, Agile Development, DevOps, Docker, Kubernetes, SQL, Vector Databases, Prompt Engineering, Unit Testing

Industry

Financial Services

Description

Join us. Let’s care for tomorrow. At Allianz Global Investors we foster a culture of professionalism, fulfilment, and an inclusive working environment. Do you want to be part of a leading active asset management company? Then join us now! As the Senior AI Software Engineer (f/m/d) in the team, you will be primarily responsible for the design and development of full-stack Generative AI (GenAI) and Machine Learning (ML) applications for a wide range of use cases in the Asset Management space. This role works closely with domain experts to understand business needs and translate them into technical requirements for development. By leveraging Generative AI, you will take a technical leadership role in driving the development of innovative solutions and providing technical guidance to the development team where necessary. Within a central AI team in collaboration with other engineers & architects, the Sr. AI Software Engineer (f/m/d) leads the development of prototypes to assess technology readiness and suitability for specific applications, ultimately guiding the scaling of the most promising prototypes into production-ready applications and platforms. A secondary part of the role is to develop AI engineering capability to meet the growing demand for AI. This involves researching new technologies, defining technical standards, rolling out templates, frameworks & best practices such as LLMOps/MLOps together with its enablement across the organization via developer communities and outreach initiatives. This position will be based in Frankfurt or Munich. What you will do Provide technical leadership by defining and sharing engineering best practices such as MLOps/LLMOps and ensuring company policies/procedures are adhered to for the AI solutions the team manages Mentor & co-ordinate activities of junior AI engineers Development of full-stack solutions for GenAI/ML applications, integrating both frontend and backend components to deliver robust and scalable solutions Work closely with cross-functional teams to understand business requirements and translate these into technical requirements for application development Ideation and development of solutions and co-creation with development teams to transition prototypes into production where viable AI enablement and upskilling within AllianzGI through consultations, training, and communities with engineers, citizen developers, etc. Share best practices and content around AI Engineering and AI in general, with the objective of accelerating the adoption of AI across the company Champion responsible, secure, and compliant AI Work with and make recommendations to leadership teams regarding AI strategy, roadmap, and buy-versus-build decisions Research and share the latest industry trends and technologies to help foster AllianzGI relevant innovation and business transformation What you bring Education University degree or equivalent in Computer Science, Information Systems, Engineering, Machine Learning, Data Science or related fields Experience A minimum of ten (10) years’ experience in full stack application development is required Ideally industry experience in Investment Banking/Asset Management A minimum of three (3) years’ industry experience in GenAI and ML based App development A minimum of three (3) years’ experience working with agile teams, required Knowledge & Hardskills Proficiency in Python, including experience with libraries and frameworks relevant to ML and GenAI application development (e.g., LangChain, FastAPI, Semantic Kernel, and AutoGen) Detailed understanding and hands-on experience with large language models (LLMs), AI agents, retrieval-augmented generation (RAG) architecture, embedding techniques, prompt engineering, fine-tuning, multi-choice prompts (MCPs), LLMOps, MLOps, vibecoding, and reinforcement learning Experience with modern web development frameworks and languages, including React, TypeScript, and Node.js, with a background in building and maintaining both front-end and back-end applications Experience working with production-grade vector databases (e.g., Azure AI Search, MongoDB, Cosmos DB, pgvector, Chroma, or Milvus) for efficient storage and retrieval of embeddings Ideally experienced with container technologies (Docker, Kubernetes) and Cloud native services in Azure Experience with relational databases (e.g., SQL Server, MySQL, PostgreSQL) Experience with Agile development and DevOps practices using tools such as Harness, GitHub, JFrog, Jira, and Datadog Ability to create unit tests, integration tests using common testing frameworks (e.g., pytest, Playwright) Ideally knowledge and strong understanding of component-based architecture, state management and intuitive UX design principles Softskills Well-developed interpersonal skills with the ability to interact effectively at all organizational levels, coupled with excellent English communication Ability to translate and drive conceptual ideas to technical requirements for application development Strong analytical skills, and a creative mindset to effectively define problems and explore solutions Ability to understand technical problems presented by non-technical users and communicate technical solutions in a clear, non-technical manner Proven ability to work collaboratively in a team environment with a strong customer-service focus Strong organizational skills to manage time efficiently, prioritize tasks, and meet multiple deadlines What we offer We empower our employees by ensuring flexible work arrangements that maintain a balance between performance, productivity, career development and personal priorities (e.g., hybrid model/ flexible working hours) Securing your future: Access to company pension/savings plans Family support (relocation/ childcare facilities) Company share purchasing plan Mental health and wellbeing programs Mobility solutions (Jobrad bike leasing, subvention Jobticket) Career opportunities within the entire Allianz Group Self-guided learning & development … and so much more!

Responsibilities

The Senior AI Software Engineer will design and develop full-stack Generative AI and Machine Learning applications, working closely with domain experts to translate business needs into technical requirements. This role includes providing technical leadership, mentoring junior engineers, and driving the development of innovative AI solutions.