Software Engineer - AI II

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

As a Staff Software Engineer (AI) you will join our pivotal Forward Engineering team responsible for reimagining critical TR business functions by architecting and prototyping enterprise-grade AI systems that deliver measurable business value. You will work closely with senior functional leaders to facilitate end-to-end optimization of the business processes and workflows through development of scalable, AI‑first solutions.

As a Staff Software Engineer (AI), you will lead the design and delivery of innovative AI solutions, driving technical strategy and embedding within business units to reimagine processes and accelerate TR’s AI‑first transformation.

Design, build, evaluate, and lead implementation of enterprise-scale AI solutions, including domain‑tailored multi‑agent systems and advanced RAG.

Evaluate emerging AI techniques, lead proof‑of‑concept initiatives, and translate cutting‑edge research into actionable technical roadmaps that advance the organization’s AI‑first vision.

Direct architectural decisions, convert business requirements into scalable technical designs, mentor engineering talent, and champion MLOps/LLMOps best practices.

Partner directly with business units, SMEs, and product teams to co‑create AI solutions, ensure adoption, and document architectural patterns for organizational capability building.

Influence strategic direction, scale successful AI prototypes, and establish standards that elevate engineering excellence and drive company‑wide transformation.

8+ years of software engineering experience, including 4+ years in senior or lead roles focused on AI/ML system design and delivery.

Mastery of Python and deep hands‑on experience with modern AI/ML frameworks such as PyTorch, Tensor Flow, or JAX.

Deep understanding of machine learning principles, model evaluation methodologies, distributed systems, and scalable architecture patterns.

Proven ability to manage full lifecycle operations for enterprise AI applications, including deployment, monitoring, model management, and continuous improvement.

Demonstrated proficiency with major cloud platforms (AWS, Azure, or GCP) and infrastructure/orchestration tools such as Docker, Kubernetes, and Terraform.

Experience integrating AI models into large‑scale production systems using APIs, data pipelines, and cloud‑native application architectures.

Strong technical leadership, strategic thinking, and the ability to communicate complex concepts effectively and influence senior stakeholders.

• Experience leading teams in building rapid prototypes and AI‑driven systems for internal stakeholders.
• Advanced knowledge of vector databases, embeddings, semantic search, and information retrieval systems.
• Track record of successful AI solution launches and scaling AI systems for internal business functions.
• Portfolio demonstrating leadership in innovative LLM‑based solutions and AI product development.
• Experience with AI governance, model risk management, and regulatory compliance.
• Publications, patents, or speaking experience in AI/ML domains.

• Hybrid Work Model:
  We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.

• Flexibility & Work-Life Balance:
  Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the…