Principal AI Scientist – Agentic Systems

Location:
Global (Remote / Hybrid)

Type:
Full-Time

Function:
Research & Applied AI | Client-Facing

Industries:
Retail, Media, Gaming, BFSI, Healthcare & Life Sciences

About the Role

Our client is  seeking a
futuristic yet hands-on AI leader
who can bridge deep scientific research with real-world impact.

As a
Principal AI Scientist
, you will drive innovation in
Agentic AI systems
—designing, prototyping, and deploying autonomous, reasoning-driven AI architectures that transform how enterprises operate, decide, and engage.

This is a
client-facing leadership role
that blends scientific depth, architectural vision, and delivery excellence. You will shape the AI strategy, define the architecture, and lead end-to-end execution of cognitive systems that go beyond prediction to
decision and action
.

What You'll Do

• Architect and operationalize Agentic AI systems
  that combine reasoning, autonomy, and generative intelligence across Retail, BFSI, Media, Gaming, and Healthcare.
• Partner with client executives to
  define AI roadmaps, frameworks, and architectures
  that deliver measurable business value.
• Prototype, train, and fine-tune
  large and small language models (LLMs/SLMs) using state-of-the-art frameworks (PyTorch, JAX, Hugging Face, LangGraph, LangChain, RAG).
• Lead
  multi-agent and multi-modal research
  —transforming ideas like memory graphs, long-horizon reasoning, and tool-augmented cognition into scalable AI systems.
• Collaborate with engineering teams to ensure
  high-performance model training and deployment
  on
  Neo Cloud environments
  (CoreWeave, RunPod, Lambda, Modal, , ).
• Partner with MLOps and AIOps teams to optimize
  distributed training, inference pipelines, and GPU utilization
  across these emerging compute fabrics.
• Serve as a
  thought leader
  —conduct client workshops, publish research insights, and represent the company in the broader AI community.
• Mentor AI scientists and engineers, cultivating a culture of curiosity, responsibility, and continuous learning.

Who You Are

• A
  scientist–builder hybrid
  : curious, inventive, and eager to push the limits of what's possible in intelligent systems.
• Comfortable operating across
  research, engineering, and client advisory
  —simplifying the complex and driving value from innovation.
• Energized by the convergence of
  agentic AI, reasoning systems, and large-scale model infrastructure
  .

What You Bring

Core Qualifications

• PhD or Master's in Computer Science, AI/ML, Computational Statistics, or related field.
• 8+ years in applied AI, ML, or data science, including hands-on deployment of advanced AI systems.
• Expertise in
  foundation models, multi-agent frameworks, and reasoning-based AI architectures
  .
• Deep proficiency in
  Python
  ,
  PyTorch
  ,
  JAX
  , and
  LLM orchestration frameworks
  (LangGraph, LangChain, Hugging Face, RAG).
• Hands-on experience with
  Neo Clouds
  (CoreWeave, RunPod, Lambda, Modal, , or similar) for distributed training, fine-tuning, and inference optimization.
• Familiarity with
  containerized and GPU-accelerated AI environments
  (Kubernetes, Ray, Triton Inference Server, DeepSpeed, FSDP/ZeRO).
• Strong understanding of
  MLOps
  ,
  scaling pipelines
  , and
  performance optimization
  in production.
• Prior experience in
  client-facing roles
  or
  consulting environments
  , translating research to enterprise solutions.
• Solid theoretical grounding in
  reinforcement learning, planning, and cognitive architectures
  .

Preferred

• Experience designing
  multi-agent orchestration systems
  or
  SLM/LAM architectures
  for domain-specific automation.
• Familiarity with
  knowledge graphs, contextual memory, and reasoning layers
  in agentic systems.
• Track record of
  open-source contributions or published research
  in applied AI.
• Proven success in taking
  AI research prototypes into scalable production systems
  .

Why Join Us

• Shape the
  next generation of Agentic AI ecosystems
  powering global industries.
• Work on
  frontier AI infrastructure
  with access to cutting-edge
  Neo Cloud
  platforms.
• Collaborate with visionary teams in a
  zero-legacy, high-autonomy, AI-native environment
  .
• Build cognitive systems that redefine how enterprises think, decide, and act.