AI, ML & Data Research Jobs

Senior Agentic AI Engineer role to design, build, and deploy multi-agent, LLM-powered workflows and production-grade AI services using Python on AWS. The primary goal is to develop scalable agentic AI applications and frameworks (planning, memory, orchestration, RAG/vector search) and lead an offshore AI sub-team.

Build, deploy, integrate, and operate enterprise-grade agentic AI solutions on AWS, working directly with business and engineering stakeholders to convert high-value use cases into reliable production outcomes. The role combines platform ownership, AI orchestration, cloud operations, and forward-deployed engineering with end-to-end production accountability.

Technical Lead responsible for designing, building, and deploying agentic AI systems that perform multi-step reasoning and task execution, primarily on Google Cloud Platform. Lead hands-on development in Python, work with LLMs and agent frameworks (e.g., LangChain, AutoGen), and integrate AI agents with enterprise systems while ensuring performance, monitoring, and responsible AI practices.

Capgemini is hiring a hands-on Managing Solution Architect to design and implement end-to-end cloud, data analytics, and AI platforms. The role focuses on technical leadership: coding, building prototypes, guiding development teams, and delivering production-grade, scalable AI and data solutions.

Lead the design and delivery of agentic AI systems by building production-grade LLM orchestration workflows and Python-based backends, ensuring scalability, reliability, and observability while guiding engineering teams on architecture and technical standards.

Build and deploy agentic AI workflows to automate business processes by integrating LLMs, enterprise systems, and data stores. Develop backend services, RAG solutions, and orchestrations using Python/Java, LLM APIs, vector databases, and workflow automation platforms to deliver reliable, secure, production-grade AI agents.

Senior Forward Deployed Engineer (Technical Data Architect) at Databricks based in London (hybrid). Own architecture and deliver production-grade data and AI solutions for customers, leading design, implementation, and operationalization across data engineering, ML/AI and application layers.

Anthropic is hiring an Applied AI Architect for Beneficial Deployments (Life Sciences) to be the primary technical advisor for life sciences partners, driving Claude adoption and accelerating scientific R&D through deployment. The role combines deep technical expertise in LLM patterns with relationship-building, designing scalable programs, and translating scientific workflows into production solutions.

Hands-on Agentic AI engineer role requiring strong Python coding skills to build scalable, real-time applications with machine learning and AI components. The position is location-based in Noida, Pune, or Bengaluru and emphasizes practical project experience.

Senior Associate responsible for designing and implementing agentic Generative AI solutions on Google Cloud. The role focuses on building intelligent AI agents using Vertex AI, Gemini Enterprise and related GCP agent tooling, collaborating with stakeholders and mentoring engineering teams in a hybrid location.

Build and deploy agentic AI systems that define goals, plan, reason, decompose tasks and execute autonomous action loops. Design multi-agent and single-agent workflows with LLMs, implement RAG pipelines and secure integrations, and operate agentic applications on cloud platforms with observability and Responsible AI controls.

Senior Forward Deployed Engineer working with U.S. federal government customers to design, build, and productionize data and AI solutions on the Databricks platform. The role is hands-on and customer-facing, owning architecture and end-to-end delivery while working cross-functionally and traveling to customer sites (20-25%); U.S. citizenship and eligibility for a Secret clearance are required.

Lead end-to-end design, build, and deployment of production-grade GenAI solutions as a hands-on Forward Deployed Engineer working directly with clients. Build LLM-driven applications, RAG systems, and agentic workflows while creating reusable accelerators and enabling large-scale AI adoption.

Senior Associate Azure AI/ML/Agentic AI Engineer focused on designing, building, and evaluating AI-driven solutions on Azure. The role centers on Python-based development of agentic AI, RAG-enabled systems, and LLMOps workflows using Azure AI Stack and agentic frameworks to deliver client advisory solutions.

Azurity Pharmaceuticals is hiring an Agentic AI Developer to design, build, and deploy agentic LLM-based systems and multi-step autonomous workflows that integrate with internal and third-party systems, ensuring orchestration, observability, and regulatory safety controls. The role focuses on implementing tool-calling agents, retrieval-augmented pipelines, and multi-agent coordination to automate business workflows in a regulated environment.

Forward Deployed Engineer position at Cognitud Advisory Services to design, prototype, and deploy enterprise AI solutions across PAN India. The role focuses on hands-on Python development, GCP (Vertex AI and Gemini APIs), LLM application development, agentic AI workflows, and customer-facing solution architecture.

Lead enterprise AI and cloud architecture for large-scale digital transformation programs, driving end-to-end design and delivery of scalable, secure GenAI and agentic AI platforms. Serve as a technical leader and trusted advisor to executive stakeholders while mentoring global engineering teams and establishing governance and adoption frameworks.

Forward Deployed Engineer focused on designing and delivering AI-powered prototypes, agentic workflows, and customer-facing solutions using Python, Gemini APIs, Vertex AI, and Google Cloud. The role partners with customers and cross-functional teams to translate business requirements into scalable, production-ready AI architectures and integrations.

Turn ambiguous business problems into working AI products by working directly with business, product, and engineering teams to define opportunities, prototype solutions, and deliver production systems using LLMs, agents, RAG, and traditional backend services. Own projects end-to-end from discovery through deployment and scale successful solutions across the business.

Build and deploy enterprise AI applications in Python focusing on agentic AI workflows, LLM integration, RAG architectures, embeddings, and prompt engineering. Implement REST APIs and microservices, integrate OpenAI and related frameworks, and deploy solutions on Docker/Kubernetes and cloud platforms.