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Leads enterprise-wide AI architecture strategy, governance, standards, and adoption roadmap for Smith+Nephew. Works with Generative AI, LLMs, RAG, vector databases, MCP, A2A, and cloud AI platforms like Azure/OpenAI to define enterprise AI standards and integrate with ERP/CRM systems.
Architect and build scalable backend systems for AI-native applications using Java and Python, focusing on RAG and multi-agent collaboration platforms at Adobe’s Experience Platform.
Senior AI/ML engineer builds and automates enterprise GenAI and agentic platforms using Python, Kubernetes, CI/CD, and cloud-native tooling to accelerate AI solution delivery.
Senior AI/ML engineer building and scaling Bank of America’s enterprise Generative AI platform, including LLMs, RAG, agentic workflows, and cloud-native data/AI services.
Provides on-site IT support, troubleshooting hardware/software issues, maintaining infrastructure, and assisting users across client sites in Orpington.
Design and enforce AI security controls for an AI-first enterprise platform, including agent governance, model risk management, and ML-driven threat detection across 500+ customer environments.
Lead Software Architect designs scalable, cloud-native systems and guides engineering teams through modernization, balancing business needs with technical constraints.
Build and own scalable backend services and cloud-native SaaS components in Java, automate testing with PyTest/Playwright, and drive CI/CD pipelines for Qualys’ security platform.
Lead quality engineering for financial software, designing automation frameworks in Java/Selenium/Playwright and embedding testing in CI/CD pipelines to ensure secure, scalable releases across legacy and cloud-native systems.
Owns SourceDay’s platform layer: ERP integrations, data pipelines, and public API that power supplier collaboration software for manufacturing and distribution companies.
Build and harden agentic AI systems that automate underwriting and claims workflows, integrating with legacy insurance platforms while balancing latency, cost, and reliability.
Build and ship AI-powered features end-to-end for a UK security-training platform, from LLM prototypes to production code, owning discovery through iteration.
Build and maintain automated data pipelines and analytics infrastructure at Salesforce, transforming raw data into actionable insights using Spark, SQL, and cloud platforms.
Lead the modernization of an AI-powered risk-intelligence platform’s data stack, migrating from Redshift to Snowflake and building governed pipelines, models, and telemetry to power analytics and AI agents.
Build and maintain ETL pipelines using Python, PySpark, and AWS Glue, orchestrating workflows with Step Functions and Lambda while optimizing Redshift and S3 storage solutions.
Build and maintain ETL pipelines using Python, PySpark, and AWS Glue, orchestrating workflows with Step Functions and Lambda while optimizing Redshift and S3 storage.
Lead the design and scaling of SS&C’s enterprise AI agent platform, integrating MCP, multi-agent orchestration, and LLM workflows for financial services and healthcare clients.
Lead a QA team building C#/SpecFlow automated tests, integrating them into GitHub Actions CI/CD, and using AI tools like Copilot to validate financial-services software for Calastone’s global funds network.
QA Engineer builds automated accessibility tests (Playwright + Axe) and performs manual audits (WAVE) to ensure WCAG 2.1/2.2 AA compliance for financial/healthcare web apps, while also contributing to broader UI test automation.
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Sales Lead – Products, Cogentic I2C New York (On-site:…
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