AI, ML & Data Research Jobs

As a Forward Deployed Lead Engineer at Accenture you will lead the architecture, design, and delivery of enterprise-scale AI solutions, integrating LLMs, agentic AI, RAG, and workflow orchestration across enterprise systems. The role focuses on deploying AI workflows, defining scalable integrations, and providing technical leadership while engaging with business stakeholders. Requires strong Python expertise, generative AI experience, a minimum of 7.5 years' professional experience, and 15 years of full-time education.

Lead-level AI engineer to design and deliver enterprise-scale Agentic and Generative AI platforms using LLMs, multi-agent orchestration, RAG/GraphRAG and vector search. Own end-to-end architecture, MLOps/LLMOps, cloud-native deployments, mentor AI teams, and engage with senior stakeholders to translate business needs into scalable AI solutions.

Senior Applied AI Engineer to build and ship AI-powered internal tools that dramatically speed up hiring, finance, and ops workflows. Lead end-to-end integration of LLMs, agent frameworks, embedding pipelines, and other AI tooling into production-ready internal solutions with strong ownership.

Design, build, and deploy enterprise-grade Generative AI solutions (LLMs, RAG, agentic AI) and take them from rapid prototyping to production. Work closely with engineering teams, business stakeholders, and customers to identify use cases, implement scalable Python-based AI applications, and establish MLOps/LLMOps and cloud architectures.

Build and own QA and evaluation systems for LLM-powered assistant and API surfaces in a regulated wealth-management platform. Design and operate multi-agent CI workflows that detect, triage, and optionally fix AI-generated defects while enforcing code quality for agent-authored code.

Hands-on role working on agentic AI systems, implementing solutions with LangChain and LangGraph, and building LLM-based retrieval-augmented generation (RAG) pipelines using Python and Pandas. The primary goal is to develop and integrate AI agents and LLM workflows into production or prototype systems.

Senior Gen AI Engineer responsible for preparing data, developing and fine-tuning generative and multimodal models (GANs, VAEs, Transformers/LLMs), and building scalable AI pipelines and services. The role includes deploying AI applications on hyperscaler clouds (Azure, GCP, AWS) and integrating models with company data and services.

The Senior Forward Deployed Engineer partners with customers to design, build, and productionize end-to-end data and AI solutions on the Databricks platform, owning architecture and delivery. This customer-facing role combines hands-on engineering across data engineering, ML/AI, and application development with stakeholder engagement and measurable technical impact.

Syngenta's Bioinformatics team is hiring a Functional Genomics Intern in Durham, NC to analyze next-generation genomics datasets and apply AI/deep learning prediction tools to solve biological problems. The role focuses on developing computational genomics skills, building reproducible workflows, and contributing analyses, visualizations, and reports within a multidisciplinary team.

Lead the design and production of agentic AI systems and RAG pipelines, integrating LLM providers, vector databases, and orchestration frameworks to deliver enterprise-grade AI agent workflows. Build scalable Python backends, implement observability and safety guardrails, and drive technical leadership and mentorship to move prototypes into production.

Telnyx is hiring a Forward Deployed Engineer based in Bangalore to embed with enterprise customers and architect, build, and ship production communications and AI solutions (voice, messaging, wireless, inference). You will own technical discovery, design POCs, deploy production systems, instrument observability, and collaborate with sales, product, and engineering to deliver customer outcomes at scale.

Lead strategy, architecture, delivery, and adoption of enterprise-scale Generative AI and Agentic AI solutions at Accenture. Define AI roadmaps and governance, manage cross-functional delivery teams, engage senior clients, and oversee production-grade AI platforms integrating LLMs, multi-agent systems, cloud services, and enterprise applications.

Senior Agentic AI Developer to design, build, and deploy multi-agent and agentic generative AI solutions, focusing on autonomous workflows, RAG/IR architectures, and production LLM orchestration. Role is full-time, hybrid in Bengaluru, and centers on integrating agent frameworks, vector DBs, cloud LLM platforms, and MLOps practices to deliver scalable business outcomes.

As a Forward Deployed Engineer at Anthropic, you will embed with strategic customers to design, build, and ship production AI applications using Claude models, driving enterprise adoption and codifying deployment patterns. The role blends hands-on engineering, customer engagement, and cross-functional collaboration, with frequent travel and a hybrid office requirement.

Contract Architect role to design and build agentic AI systems using Java. The position focuses on architecting scalable, secure agent-based AI solutions and implementing backend services and integrations.

Join Blue Machines as a Forward Deployed Engineer to design, build, deploy, and operate production-grade Voice AI agents for enterprise clients. You'll own end-to-end agent architecture, integrations with client systems, and ongoing optimization and debugging in live environments.

Architect and implement production-grade multi-agent AI systems using patterns like ReAct and protocols such as MCP/A2A, leveraging agent orchestration tools. The role requires strong Python expertise (async, typing) and production experience with LangGraph, CrewAI, or AutoGen.

Senior Systems Engineer role at NVIDIA focused on agentic AI systems. Responsible for designing, implementing, and operating the infrastructure and systems that enable agentic AI capabilities across products and research efforts.

As an Applied AI Engineer on JD Power's Launch Lab team, you build and ship full-stack AI-powered applications from PoC blueprints to production-quality interfaces on 2–4 week sprints. You own architecture, deployment, observability, and clean handoffs while ensuring AI behavior is reliable, cost-aware, and integrated with core data infrastructure.

Senior Applied AI Research Engineer responsible for hands-on experimentation with emerging AI technologies (agents, LLM integration, evaluation) and converting findings into organization-wide engineering standards (AI SDLC). Works across research, prototyping, engineering, architecture, and enablement to guide safe, maintainable AI adoption.