Senior Consultant - AI Tech Transformation - TC - FS

We are seeking a Senior Consultant specializing in generative AI to help design and build GenAI solutions for our clients. This is a hands-on, delivery-focused role: you will build key solution components, support the overall architecture, and work directly with client teams to move solutions into production. It is an excellent role for a strong engineer growing into architecture and client-facing leadership., Build and deliver GenAI solution components: RAG pipelines, prompt orchestration, tool-calling integrations, and APIs.

Support the solution architecture and contribute to design decisions within your components. Ensure your components are reliable, secure, performant, and cost-aware. Contribute to delivery execution: implementation, testing, debugging, and resolution of technical issues. Apply engineering standards, reusable frameworks, and accelerators in your work. Take ownership of the quality and timeliness of your deliverables.

Technical Contribution Implement generative AI solutions using LLMs, RAG pipelines, prompt orchestration, and agentic workflows. Build components for insurance use cases (claims intake automation, submission triage, document intelligence, underwriting copilots, policy Q&A, contact-center copilots). Implement and tune RAG: chunking, embeddings, vector stores, retrieval tuning, and grounding to reduce hallucination.

Develop multi-agent and tool-calling workflows for insurance processes. Apply LLMOps and quality practices: prompt engineering, evaluation, guardrails, monitoring, and cost/latency optimization. Apply responsible AI practices: hallucination controls, PII handling, and compliance-aware handling of sensitive data. Support integration with core insurance platforms (Guidewire, Duck Creek, Sapiens) and enterprise data/content systems.

Collaboration & Communication Work directly with client teams to deliver solutions and resolve technical questions. Explain technical decisions, tradeoffs, and progress clearly to project team members and stakeholders. Prepare and support demos and technical walkthroughs. Collaborate across engineering, data, and business stakeholders during delivery. Support and guide junior consultants where needed.

Strong hands-on engineering skills and eagerness to grow into architecture. A delivery mindset with attention to quality and detail. Clear communication and a collaborative, client-facing attitude. Curiosity and a fast learning pace in a rapidly evolving field. To qualify for the role; Bachelor's or Master's in Computer Science, Engineering, or a related field. Experience in technology delivering software or data solutions, including hands-on work on at least two GenAI or AI/ML projects (with ~1 year of GenAI experience).

Hands-on experience with LLMs (OpenAI, Anthropic, Google, or open-weight models like Llama/Mistral) and orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or equivalent). Practical experience with RAG, embeddings, and vector databases (Pinecone, Weaviate, pgvector, Azure AI Search). Familiarity with agentic architectures, function/tool calling, and structured outputs. Prompt engineering and evaluation experience, with awareness of guardrails and safety.

Experience with at least one cloud GenAI platform (Azure OpenAI, AWS Bedrock, Google Vertex AI). Solid programming skills and understanding of API design and integration patterns. Awareness of responsible AI and secure handling of sensitive data. Good communication skills, able to explain technical work clearly. The following will be an advantage; Exposure to GenAI or AI/ML solutions in insurance or financial services.

Familiarity with insurance document workflows (ACORD forms, loss runs, policy documents). Experience contributing to solutions moving from proof-of-concept toward production. Relevant cloud or AI certifications. What we look for We are seeking tech professionals, with good knowledge of DLT and digital assets processes and products, to join our growing team to bui