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Build AI-powered automation and conversational agents using Microsoft Copilot, Power Platform, and Azure AI; integrate APIs and enterprise data with prompt engineering and RAG.
Build and deploy multi-agent AI systems, multimodal pipelines, and RAG/Graph-RAG for fintech use cases using Python, PyTorch, and Databricks.
Designs and advises clients on secure GenAI or Computer Vision solutions, running discovery workshops and mapping workflows to scalable architectures under high-security constraints.
Build and ship production-grade AI features end-to-end using Python, FastAPI, and LLM APIs on AWS Bedrock, integrating prompt handling, fallbacks, and observability into Guidewire’s insurance platform.
Principal AI Engineer designs and owns the shared AI architecture for multi-agent marketing systems, retrieval pipelines, and evaluation frameworks that power SMB-focused products at scale.
Lead AI-driven compliance tools for investment workflows, building generative AI assistants, semantic search, and agentic systems on BlackRock’s Aladdin platform.
Build and lead enterprise-scale AI platforms using LLMs, RAG, and agentic systems; set standards for reliability, governance, and reuse across teams.
Build AI agents for financial data analysis and trading automation using LLM integration and multi-agent systems in a hedge fund.
Designs and implements AI/ML and generative AI solutions for enterprise clients, focusing on architecture, LLM/RAG pipelines, and MLOps—collaborating with data and product teams to scale AI from proof-of-concept to production while ensuring security, governance, and cloud platform integration.
Architect and implement generative AI solutions on SAP BTP, designing RAG pipelines, knowledge graphs, and LangChain orchestration to embed LLMs into enterprise SAP applications.
Pre-sales AI Solutions Architect designs and pitches AI solutions (ML, GenAI, RAG, MLOps) to UK clients, leads bids, and represents Sopra Steria at industry events.
Lead AI engineering for generative-AI copilots and RAG systems in a regulated financial-services environment, building production-grade Python/LLM pipelines on Azure.
Build agentic AI workflows in Python to automate corporate IT reliability tasks like incident triage, root-cause analysis, and remediation, using LLMs, RAG, and agent frameworks.
Lead a team of engineers to design, build, and deploy AI and automation solutions for Amgen’s AI Studio, turning business challenges into scalable, production-ready products with measurable impact.
Build and deploy AI/ML models and GenAI copilots to optimize Amgen’s global supply chain, integrating LLMs, vector databases, and orchestration frameworks like LangChain to automate decisions and improve efficiency.
The Manager, Digital Optimization plays a strategic role in driving digital transformation, process innovation, data-driven decision-making, and AI adoption within the Office of Campus Housing (OCH). This role is…
Build AI agents that automate and improve quality engineering workflows, transforming testing and delivery processes using generative AI and agentic engineering practices.
Build and deploy AI-first contract intelligence features using LLMs, RAG, agentic workflows, and knowledge graphs to automate and accelerate deal-making for enterprise customers.
Builds and deploys production-grade agentic AI systems (LLMs, RAG, orchestration) for American Express’s global commercial services, integrating with cloud-native stacks (Go/TypeScript/Python, AWS/GCP, Kafka, Kubernetes) to enhance customer-facing financial solutions.
Build production-ready AI features using Azure OpenAI, RAG pipelines, and MCP agents to enhance SaaS workflows like onboarding and data intake.
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