AIGenAI Technical Architect with Pension Platforms Exp

We are looking for a highly experienced Technical Architect to lead the design and delivery of next-generation pension and retirement platforms and AI-driven solutions. This role combines deep domain expertise in retirement systems with cutting-edge AI-first architecture including GenAI RAG systems and domain-specific model development.

The ideal candidate will drive enterprise-scale transformation define architectural strategy and lead multi-disciplinary teams delivering scalable high-performance and intelligent platforms.

Key Responsibilities:

Architecture Leadership:

• Define and govern end-to-end architecture for large-scale pension and retirement platforms.
• Translate business requirements (BRD/FRD) into scalable resilient solution architecture blueprints.
• Lead architecture reviews establish standards and ensure alignment with enterprise principles and non-functional requirements (performance scalability security).

AI/GenAI Architecture

• Design and implement GenAI-powered solutions including:
  • Retrieval-Augmented Generation (RAG) systems
  • Domain-specific Small Language Models (SLMs)
  • Agentic AI workflows and automation systems
• Lead model lifecycle activities including DAPT SFT LoRA fine-tuning evaluation and deployment.
• Architect seamless integration of AI capabilities into enterprise platforms.

Platform Engineering & Modernization

• Design microservices-based API-first event-driven architectures.
• Establish integration frameworks across legacy pension systems and modern platforms.
• Ensure high availability fault tolerance and low downtime for platforms managing large retirement portfolios.

Data & MLOps Strategy

• Define enterprise MLOps/LLMOps pipelines covering:
  • Model training validation deployment and monitoring
  • Bias detection drift management and observability
• Enable intelligent data access platforms (e.g. AI-driven query systems and analytics).

Delivery & Execution

• Lead end-to-end execution from greenfield design through production deployment.
• Drive large transformation programs ensuring high data accuracy and minimal downtime.
• Oversee architecture consistency across multiple programs and workstreams.

Leadership & Stakeholder Management

• Lead and mentor large cross-functional distributed teams.
• Collaborate with business stakeholders and clients to align architecture with strategic outcomes.
• Drive governance including risk management budget oversight and executive reporting.

Required Skills & Experience

Core Technical Skills

• Strong expertise in:
  • Microservices architecture & API-first design
  • Event-driven systems and integration patterns
  • Cloud platforms (AWS/GCP preferred)
• Deep understanding of enterprise architecture and large system design.

AI/ML & GenAI Expertise

• Hands-on experience with:
  • RAG architectures and vector databases
  • LLM/SLM fine-tuning techniques (DAPT SFT LoRA)
  • Agent orchestration and AI workflows
• Knowledge of MLOps/LLMOps frameworks
• Experience optimizing models for efficient or on-device inference

Domain Expertise

• Strong experience in Pension / Retirement Systems
• Understanding of retirement lifecycle policy administration and large-scale data migration
• Prior exposure to financial services platforms is preferred

Leadership Experience

• Proven experience leading large engineering teams
• Experience managing architecture across multiple programs or accounts
• Strong stakeholder and client engagement skills

Preferred Qualifications

• AWS Certified Solutions Architect (or equivalent)
• Google Cloud / Generative AI certifications
• Experience building AI-enabled enterprise platforms
• Exposure to AI-driven automation and analytics solutions

Key Success Metrics

• Successful delivery of large-scale platform transformations
• Adoption and impact of AI-driven capabilities
• System performance scalability and uptime
• Data migration accuracy and deployment efficiency
• Stakeholder satisfaction and business outcomes