Staff Software Engineer - AI I
Thomson Reuters13 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Architect, build, and scale enterprise AI systems, including RAG architectures, autonomous agents, model integrations, APIs, data pipelines, and microservices.
- Lead AI model adaptation, customization, evaluation, and integration for legal, tax, fraud, compliance, and other specialized domains.
- Define technical standards, architecture practices, roadmaps, and governance frameworks for AI systems and model lifecycles.
- Lead MLOps and LLMOps design and implementation initiatives.
- Oversee proof-of-concept projects, technical feasibility assessments, and strategic adoption of emerging AI techniques.
- Design testing frameworks, monitoring systems, and observability solutions for AI model performance.
- Drive compliance with ethical AI principles, security standards, regulatory requirements, and model risk controls.
- Optimize AI systems for latency, resource usage, cost efficiency, scalability, and user experience.
- Mentor senior and junior software engineers and influence senior stakeholders, product strategy, and executive technical discussions.
Requirements
- Bachelor's degree in computer science, engineering, or equivalent experience; a master's degree is preferred.
- 8+ years of software engineering experience, including at least 4 years in senior or lead AI/ML-focused roles.
- Expert-level Python proficiency and extensive experience with PyTorch, TensorFlow, and JAX.
- Deep understanding of machine learning principles, evaluation methodologies, and distributed system design.
- Proven experience with MLOps, LLMOps, and the full lifecycle of enterprise AI applications.
- Experience integrating AI models into large-scale production systems using APIs, data pipelines, and cloud-native architectures.
- Advanced experience with AWS, Azure, GCP, Docker, Kubernetes, and Terraform.
- Experience leading teams that build AI-driven systems, agent-based architectures, or enterprise integrations with AI APIs such as OpenAI and Anthropic.
- Knowledge of vector databases, embeddings, semantic search, and information retrieval systems.
- Experience with AI governance, model risk management, regulatory compliance, enterprise AI launches, and scaling AI systems.
- Strong technical leadership, strategic thinking, problem-solving, communication, and presentation skills.
- Domain expertise in legal, tax, accounting, or other regulated industries is valued; publications, patents, or speaking experience in AI/ML are also valued.
Benefits
- Flexible hybrid work model with 2–3 days per week in the office for applicable office-based roles.
- Work-from-anywhere flexibility for up to 8 weeks per year and additional work-life balance policies.
- Career development, continuous learning, skills development, and leadership growth programs.
- Comprehensive benefits including flexible vacation, two company-wide mental health days, Headspace access, retirement savings, tuition reimbursement, incentive programs, and wellbeing resources.
- Two paid volunteer days annually and opportunities for pro-bono consulting and ESG initiatives.
Tech Stack
Categories
About Thomson Reuters
Thomson Reuters builds research platforms, workflow software, and data services for legal, tax and accounting, compliance, and government professionals, and operates the Reuters global news service. Flagship products include Westlaw for legal research and ONESOURCE and Checkpoint for tax and accounting, sold primarily via subscriptions and enterprise licenses. A public company headquartered in Toronto, it was formed in 2008 by combining Thomson Corporation and Reuters Group and is listed on the TSX and Nasdaq as TRI.