AI & RPA Developer Lead

About This Opportunity

Are you ready to lead the future of intelligent automation and AI innovation at one of the world's leading insurance and financial services companies?

Allianz is seeking an exceptional Senior AI & RPA Development Lead to spearhead our AI and automation transformation. In this high-impact role, you'll lead a talented team of AI/ML engineers and RPA developers, driving measurable business value through cutting-edge artificial intelligence, machine learning, and robotic process automation solutions at enterprise scale.

This is more than a technical leadership role—it's an opportunity to shape how Allianz leverages AI and automation to deliver superior customer experiences, operational excellence, and competitive advantage in the digital age.

What You'll Do

Lead & Inspire a High-Performing Team

• Build and mentor a diverse team of AI/ML engineers and RPA developers, fostering a culture of innovation, collaboration, and continuous learning
• Set strategic direction and technical vision for AI and automation initiatives aligned with business priorities
• Conduct performance reviews, establish career development paths, and grow technical capabilities across the team
• Champion engineering excellence through best practices in code quality, testing, documentation, and knowledge sharing

Drive End-to-End AI & Automation Solutions

• Own the complete lifecycle of AI and RPA solutions—from opportunity discovery and business case development through design, implementation, deployment, and optimization
• Manage the product roadmap for AI/ML and RPA initiatives, prioritizing high-value use cases and balancing quick wins with strategic transformations
• Translate complex business challenges into elegant technical solutions with clear ROI and measurable impact
• Collaborate cross-functionally with business stakeholders, data teams, IT infrastructure, and governance functions to ensure successful delivery

Architect & Deliver Advanced AI/ML Solutions

• Design and implement production-grade ML systems including supervised/unsupervised learning, natural language processing (NLP), large language models (LLMs), computer vision, and predictive analytics
• Build robust MLOps pipelines covering model training, versioning, evaluation, deployment, monitoring, drift detection, and automated retraining
• Leverage cutting-edge LLM technologies including Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and agentic AI workflows
• Evaluate and integrate AI services (Azure OpenAI, AWS Bedrock, etc.) ensuring compliance with Allianz standards while optimizing for cost, performance, and security
• Implement responsible AI practices including bias detection, model explainability, and ethical AI governance

Scale Intelligent Process Automation

• Lead RPA solution architecture and delivery across business processes using platforms like UiPath, Automation Anywhere, or Microsoft Power Automate
• Establish automation governance covering bot lifecycle management, change control, exception handling, monitoring, and business continuity
• Design intelligent automation combining RPA with AI/ML capabilities (document intelligence, cognitive automation, decision intelligence)
• Ensure compliance and auditability through proper logging, access controls, segregation of duties, and regulatory adherence

Measure Impact & Drive Continuous Improvement

• Define and track KPIs including model accuracy, inference latency, automation success rates, cost efficiency, time savings, error reduction, and user adoption
• Lead optimization cycles through A/B testing, post-implementation reviews, and data-driven refinement
• Report business value to leadership with clear metrics demonstrating ROI and strategic impact
• Foster innovation culture by staying current with emerging AI/automation trends and piloting new technologies

What You Bring

Required Experience & Qualifications

Leadership & Delivery Excellence:

• 7+ years in software engineering, ML engineering, or automation development
• 3+ years in technical team leadership, engineering management, or lead developer roles
• Proven track record of delivering AI/ML systems to production at scale
• Demonstrated success building and scaling RPA solutions that drive measurable business outcomes
• Experience managing cross-functional projects with multiple stakeholders and competing priorities

AI/ML Expertise:

• Hands-on experience with machine learning frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost)
• Deep knowledge of NLP and LLM technologies including OpenAI/Azure OpenAI, LangChain, LlamaIndex, prompt engineering, and RAG architectures
• Proficiency with MLOps tools and practices (MLflow, model registries, experiment tracking, CI/CD for ML)
• Experience with vector databases (FAISS, Pinecone, Azure AI Search, Weaviate) and embedding models
• Understanding of model monitoring, drift detection, and continuous learning systems

RPA & Automation Mastery:

• Expert-level experience with RPA platforms such as UiPath, Automation Anywhere, or Microsoft Power Automate
• Strong understanding of orchestration and workflow management (UiPath Orchestrator, Azure Logic Apps)
• Knowledge of automation patterns: attended/unattended bots, exception handling, retry logic, human-in-the-loop workflows
• Experience with intelligent document processing (IDP) and cognitive automation

Technical Foundation:

• Strong programming skills in Python (pandas, NumPy, scikit-learn) as primary language
• Familiarity with C#/.NET, JavaScript/TypeScript for integrations and bot development
• Experience with cloud platforms (Azure, AWS, or GCP) and cloud-native architectures
• Proficiency in containerization and orchestration (Docker, Kubernetes)
• Solid understanding of data engineering: SQL, data modeling, ETL/ELT, data pipelines, data lakes/warehouses
• Knowledge of API development and integration (REST, GraphQL, webhooks, OAuth)
• Experience with CI/CD pipelines and DevOps practices

Education:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience)

Preferred Qualifications

• Experience in financial services, insurance, or highly regulated industries
• Certifications in AI/ML (AWS ML Specialty, Azure AI Engineer, Google ML Engineer) or RPA (UiPath Advanced Developer, Automation Anywhere Master)
• Knowledge of data governance, privacy regulations (GDPR, CCPA), and AI ethics frameworks
• Experience with Agile/Scrum methodologies and product management practices
• Familiarity with generative AI safety, red teaming, and prompt injection mitigation
• Background in change management and digital transformation initiatives

Core Technical Skills

AI/ML Stack:

• Languages: Python (pandas, NumPy, scikit-learn), SQL
• ML Frameworks: PyTorch, TensorFlow, XGBoost, LightGBM, Hugging Face Transformers
• LLM Technologies: OpenAI API, Azure OpenAI Service, LangChain, LlamaIndex, prompt engineering, RAG, fine-tuning
• Vector Databases: FAISS, Pinecone, Azure AI Search, Chroma, Weaviate
• MLOps: MLflow, Weights & Biases, Kubeflow, Azure ML, SageMaker, model registry, experiment tracking
• Monitoring: Data drift detection, concept drift, model performance tracking, observability tools
• Data Engineering: ETL/ELT tools, dbt, Delta Lake, Parquet, Azure Synapse, BigQuery, Redshift, Databricks

RPA & Automation Stack:

• RPA Platforms: UiPath (Studio, Orchestrator, AI Center), Automation Anywhere, Microsoft Power Automate (cloud + desktop)
• Workflow Orchestration: UiPath Orchestrator, Azure Logic Apps, Apache Airflow
• Automation Patterns: Attended/unattended bots, exception handling, retry policies, human-in-the-loop, queue management
• Document Intelligence: Azure Form Recognizer, UiPath Document Understanding, intelligent OCR

Infrastructure & DevOps:

• Cloud: Azure (preferred), AWS, or GCP
• Containers: Docker, Kubernetes, Azure Container Instances, AKS
• CI/CD: Azure DevOps, GitHub Actions, Jenkins, GitLab CI
• APIs: REST, GraphQL, webhooks, OAuth 2.0, message queues (Kafka, Azure Service Bus)

Key Competencies & Soft Skills

✅ Strategic Product Thinking – Discovery, scoping, MVP definition, incremental delivery, value tracking
✅ Executive Communication – Ability to present complex technical concepts to C-level stakeholders
✅ Stakeholder Management – Building trust and alignment across business and technology teams
✅ Ownership & Accountability – Taking end-to-end responsibility for outcomes
✅ Bias for Action – Pragmatic decision-making in "build vs. buy" scenarios
✅ Change Leadership – Driving adoption of new technologies and ways of working
✅ Continuous Learning – Staying current with rapidly evolving AI/automation landscape
✅ Collaborative Mindset – Working effectively across cultures and time zones in a global organization

Why Join Allianz?

Shape the Future of Insurance & Financial Services

Be at the forefront of AI and automation innovation in a Fortune 50 company serving over 125 million customers worldwide. Your work will directly impact millions of lives.

Work with Cutting-Edge Technology

Access to the latest AI/ML tools, cloud platforms, and automation technologies. Freedom to experiment, innovate, and implement best-in-class solutions.

Grow Your Career

Comprehensive learning and development opportunities, mentorship programs, and clear career progression paths in a global organization.

Make a Real Impact

Drive measurable business outcomes and see your solutions transform operations, enhance customer experiences, and create competitive advantage.

Inclusive & Diverse Culture

Join a workplace that values diversity, promotes inclusion, and supports work-life balance through flexible working arrangements.

Competitive Rewards

Attractive compensation package including base salary, performance bonuses, equity participation, comprehensive benefits, and pension plans.

Our Commitment to Diversity & Inclusion

At Allianz, we believe diverse teams drive better innovation and business outcomes. We're committed to creating an inclusive workplace where everyone can thrive, regardless of gender, age, ethnicity, sexual orientation, disability, or background. We actively encourage applications from underrepresented groups in technology.

Ready to Lead the AI Revolution?

If you're passionate about leveraging AI and automation to solve complex business challenges, building high-performing teams, and driving digital transformation at scale, we want to hear from you.

Apply now and join us in shaping the future of intelligent automation at Allianz.

Application Process

1. Submit your application including CV/resume and cover letter
2. Initial screening with our Talent Acquisition team (30 min)
3. Technical assessment – Practical case study or technical discussion
4. Team interviews – Meet with hiring manager and team members
5. Final interview – Leadership discussion and culture fit
6. Offer & onboarding – Welcome to Allianz!

Allianz is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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. 

Great to have you on board. Let's care for tomorrow.