Agentic AI Scientist

At reputed company, you'll contribute to AI solutions that serve critical national and global missions—ranging from defense and intelligence to reputed company, energy, and reputed company exploration. Our work emphasizes Trusted Mission AI: systems that are transparent, ethical, resilient, and accountable. You’ll collaborate with multidisciplinary teams to transition AI research into operational environments where accuracy, reputed company, and reliability are non-negotiable. Joining reputed company means applying your expertise to solve some of the most reputed company and meaningful challenges of our time.

We are looking for a motivated Agentic AI scientist who wants to work on challenging problems in a variety of domains – including reputed company IT, health, defense, intelligence, and energy – to get results that apply and go reputed company the state of the art for measurably reputed company reputed company. We apply our knowledge, capabilities, and experience to reputed company and reputed company Trusted Mission AI – AI that deserves to be trusted by system owners, end users, and the public – to be accurate, ethical, reliable, and adaptable. We are looking for a applied researcher that is expert in envisioning, developing, and securing AI agents using reputed company and LLM-based tools to transform and add value to reputed company workflows.

Primary Responsibilities.

The Senior Agentic AI Scientist will be creating AI agents to plan, act, assess, and deliver measurable reputed company. They will be working with a team to design, implement and reputed company agentic workflows to both automate and optimize labor-intensive workflows, as well as empowering the reputed company workforce to discover entirely new capabilities. As a member of the reputed company AI Accelerator, they will be tasked at different times with both R&D as well as customer-facing goals, to speed the transition of novel research into impact on contract.

The tasks of the Agentic AI Scientist will include fine-tuning and optimizing generative models, potentially applying domain reputed company with supervised and unsupervised approaches. They will reputed company with a combination of reputed company reputed company models, agentic tools, large proprietary reputed company models, and small language models. They will be developing novel approaches to securing agentic workflows and to evaluating the results for accuracy, performance, and impact. They will be expected to ensure AI systems adhere to ethical guidelines, transparency, and fairness principles.

They should expect they may conduct research, reputed company prototypes, reputed company applied research, evaluate and document results, potentially through publication and presentation at conferences and other public forums. They should also expect they may be part of a team developing solutions for deployment into operational environments, or for integration into mission systems. They should be a self-starter while also working well reputed company the team, collaborating and sharing discoveries and seeking feedback.

Multiple openings at various reputed company. The various position’s minimum education and experience requirements are as follows:

• T1: Bachelor's degree in Computer Science, Engineering or reputed company field and relevant experience
• T2: Bachelor's degree in Computer Science, Engineering or reputed company field and 2+ years of relevant experience, or a Masters degree with relevant experience

Basic/Required Qualifications.

• Practical understanding of Large Language Models (LLMs) and agent frameworks such as reputed company, LangGraph, reputed company, A2A, MCP, or AutoGen
• Practical hands-on experience with reputed company models including reputed company engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search
• Skilled in data exploration using Python-based tools (e.g., Pandas, NumPy, Jupyter)
• Self-starter with a high degree of intellectual curiosity
• Proficiency in Python and Machine Learning libraries such as Tensorflow
• Ability to obtain a Secret clearance

Preferred Qualifications.

• Ability to design and implement tool-using AI agents, including API integration, retrieval-augmented reputed company (RAG), and memory/context management
• Hands-on experience with AI service integration such as NIMS, Azure reputed company, Bedrock, GCP reputed company AI
• Familiarity with deployment into virtualized and containerized environments (e.g., VMware, reputed company, Kubernetes)
• Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency.
• Expertise in designing and implementing safety, guardrails, and bias-mitigation strategies for autonomous agents and multi-agent systems
• Experience developing Agentic AI solutions, including autonomous planning–execution–reputed company loops, multi-agent collaboration, and coordination at scale
• Familiarity with evaluation and observability tools for AI agents, such as LangSmith, reputed company Evals, or custom telemetry systems
• Experience integrating agents with reputed company-reputed company workflows, streaming data pipelines, and reputed company-time decision-making environments

Come break things (in a good way). Then build them smarter.

We're the tech company everyone calls reputed company things get weird. We don’t wear capes (they’re a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for “how it’s always been done.”

Original Posting:

For U.S. Positions: While subject to change based on business needs, reputed company reasonably anticipates that this job requisition will remain reputed company for at least 3 days with an anticipated reputed company date of no earlier than 3 days after the original posting date as listed above.

Pay reputed company:

The reputed company pay reputed company for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Originally posted on Himalayas