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The Applied AI Solutions Architect leads the design and implementation of production-ready agentic AI solutions for enterprise clients. The role involves building reusable AI accelerators, establishing technical standards, and collaborating with cross-functional teams to deliver high-impact AI/ML projects.
Design, build, and operationalize production AI/ML systems for enterprise clients, translating architectures into clean Python and SQL code, integrating with cloud data platforms and APIs, and contributing to reusable accelerators and engineering standards.
Senior Data and AI Engineer at Sanofi in Toronto who leads a data engineering team to build scalable data pipelines, improve production data processes, and deliver business insights. Core stack includes Spark, AWS, SQL and Python, reporting to the Head of Data Engineering.
Forward Deployed Engineer in Juniper Square's Applied AI unit, working directly with private markets GP clients to design, build, deploy, and operate custom AI agents across the full delivery lifecycle. It's an AI-first, full-stack role using cloud, containers, CI/CD, and agentic patterns like retrieval, MCP tool integration, orchestration, and evaluation.
Senior Forward Deployed Engineer in Juniper Square's Applied AI unit, working directly with private markets GP clients to discover, scope, build, deploy, and operate custom AI agents end to end. Combines product management with full-stack engineering on agentic systems — retrieval, MCP/tool integration, orchestration, evaluation, and cloud infrastructure.
Senior QA GenAI Engineer at 99x in Lisbon (hybrid, 3 days/week on-site): designs test strategies for microservices and distributed systems while building GenAI capabilities — AI agents, RAG/embedding solutions, and LLM integrations (e.g., MCP) — plus backend microservices in .NET or Java to bring AI into the SDLC.
Senior engineer building and deploying Generative AI solutions end to end — data pipelines, RAG systems, agent-based architectures and APIs across cloud and on-prem environments. Core stack is Python, SQL, LangChain/LlamaIndex and vector databases, with a strong Azure tilt; hybrid work in Lisbon/Porto.
Senior AI Engineer building and deploying Generative AI solutions (LLM apps, RAG architectures, AI agents) for a major telecom client, taking use cases from experimentation to large-scale production. Core stack: Python, LLM/RAG tooling, vector databases, Docker/Kubernetes, cloud (AWS/Azure/GCP), and DevOps practices.
A hands-on AI engineer at Cognizant building and shipping production agentic AI systems that operate on real financial data and serve real customers in a regulated, customer-facing environment. Day-to-day work focuses on LLMs and agentic systems alongside engineers, product managers, and designers, with strong mentorship.
Senior technical lead at Capco's AI Frontier Lab in Paris: owns end-to-end architecture of agentic AI solutions (orchestration, tool calling, memory, evals) for financial services and energy clients, leads and mentors the engineering team while staying hands-on in Python, and represents technical decisions to senior client stakeholders.
AI Engineer at 9fin building large-scale generative AI systems for its debt-markets data platform, from retrieval and knowledge graphs to agentic workflows. Day to day you own the end-to-end model lifecycle (experimentation, training, evals, deployment) in Python on AWS, collaborating cross-functionally to push AI adoption across the product.
We are looking for a hands-on GenAI Engineer to build and scale agent-based AI applications, with a strong focus on Claude Agent SDK (Anthropic). The role centers on developing intelligent, production-grade workflows…
Build and deploy AI agents to automate internal workflows, boosting productivity and reducing operational costs across teams like Sales, Marketing, and Engineering using LLMs and agent frameworks.
Lead a team building AI agents that automate complex workflows for U.S. government agencies using LLMs, agent frameworks, and cloud tools.
Senior AI Engineer focusing on AI security, researching red‑team attacks, building automated evaluation frameworks, and hardening production AI infrastructure using Python, Kubernetes and cloud services (AWS/GCP/Azure).
Contract role for a senior AI engineer/architect to design and deliver production-ready AI and GenAI solutions in the healthcare and life sciences sector. Day-to-day work involves architecting AI systems for clients spanning pharma, biotech, medical devices, and health tech.
Senior AI Engineer in Dublin (hybrid) building production-grade LLM, RAG, and agentic AI systems for a global payments-technology client engagement. Day to day: leading AI service design and hands-on coding with Java/Spring Boot, Databricks/Spark, and frameworks like LangChain and LlamaIndex.
Design, build, and operationalize enterprise AI solutions using Microsoft Copilot, OpenAI, Anthropic and other Generative AI tools, integrating them with Microsoft 365 and other enterprise systems while collaborating with business stakeholders and ensuring responsible AI governance.
Senior AI Engineer building enterprise‑scale agentic and generative AI solutions for banking, including conversational AI, document intelligence, multimodal pipelines, and RAG platforms on Microsoft Azure using Python, FastAPI, Docker, and Azure services.
A junior-to-intermediate engineer on the Voice AI team who starts by owning feature testing and QA for Voice AI products built on platforms like ElevenLabs, Twilio, and Amazon Connect, with a growth path into a Forward Deployed Engineer role configuring and deploying AI solutions directly with customers.
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