Senior R&D Lead - AI / ML Engineer

We are seeking an accomplished

Senior R&D Lead – AI / ML Engineer

to spearhead the development and integration of advanced Artificial Intelligence solutions across our simulation platforms. This role demands deep domain expertise, strategic technology vision, and the ability to lead multidisciplinary engineering teams. The ideal candidate will architect next-gen AI / ML frameworks to enhance training realism, adaptability, and data-driven performance evaluation within military simulation systems.

Key Responsibilities

Lead end-to-end design, development, and integration of

AI / ML models

to enhance simulation realism, trainee behavior understanding, and adaptive training responses.

Develop

Reinforcement Learning (RL)

solutions for intelligent opponents, scenario adaptation, and real-time policy optimization.

Architect and deploy

Deep Neural Network

models using

transformers, attention mechanisms, and multi-modal architectures

(vision + language + decision).

Implement and optimize

Large Language Models (LLMs)

within relevant training and decision-support modules.

Ensure

real-time performance, safety, and reliability

of AI modules, especially under contested or adversarial simulation environments.

Uphold

AI ethics, safety, and compliance

with defense standards and autonomous systems regulations.

Design and maintain

evaluation and scoring models

to assess trainee progress based on behavioral, accuracy, and situational performance metrics.

Work closely with cross-functional hardware, software, simulation, and defense domain teams for seamless AI system integration.

Continuously assess emerging AI advancements and convert research outputs into

production-grade solutions

Lead and mentor a team of AI engineers, fostering an environment of innovation and technical excellence.

Oversee the

data pipeline strategy

– collection, annotation, preprocessing, and validation workflows.

Collaborate with Defense stakeholders, SMEs, and internal leadership to align technological development with operational requirements.

Required Qualifications

Master’s or PhD in

Computer Science, Artificial Intelligence, Machine Learning

, or related fields.

8+ years of hands-on experience in AI / ML

, with strong expertise in

Deep Learning, Reinforcement Learning, and Multi-Modal architectures

Strong command of

Neural Network architectures

, including

Transformers and attention-based models

, and practical deployment experience with

LLMs

Proven experience implementing

Reinforcement Learning algorithms

, particularly in environments requiring

real-time decisions and evaluative feedback loops

Proficiency in

Python

OpenCV

, and frameworks such as

PyTorch

TensorFlow

Stable Baselines3

Ray RL

, and

OpenAI Gym / Gymnasium

Experience in

defense / military / aerospace / high-reliability simulation systems

is highly desirable.

Demonstrated leadership ability in managing

cross-functional engineering teams

and delivering

large-scale AI systems

to production.

Strong analytical mindset with the ability to evaluate, benchmark, and optimize competing AI methodologies.

Preferred Attributes

Exposure to embedded ML in real-time training platforms.

Experience with tactical behavior modeling, sensor fusion, or agent-based simulation.

Publications, patents, or conference contributions in AI / ML.