AI​/GenAI Technical Architect 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.

• 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).

• 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.

• 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.

• 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).

• 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 work streams.

• 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.

• 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.

• 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

• 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

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

• 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

• 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