Staff Software Engineer – AI I

Thomson Reuters

. Spearhead development of AI-powered solutions and drive technical strategy .

Posted 9/17/2026full-timeBengaluru • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and implementing scalable AI systems, with a strong focus on MLOps and LLMOps. Proven ability to lead cross-functional teams and drive technical strategy in compliance-heavy domains such as legal and tax.

Highest-signal resume keywords

Expert-Level Proficiency In PythonExtensive Experience With AI/ML FrameworksProven Experience With MLOps/LLMOpsAdvanced Experience With AWS, Azure, And GCPStrong Leadership Experience Driving Technical Initiatives

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML FrameworksPythonMLOpsLLMOpsDistributed System DesignAPIsData PipelinesCloud-Native ArchitecturesVector DatabasesSemantic Search

Soft Skills

Strategic ThinkingProblem-SolvingCommunicationPresentation SkillsInfluencing Senior Stakeholders

Tools & Technologies

AWSAzureGCPDockerKubernetesTerraform

Industry Keywords

LegalTaxComplianceAI GovernanceModel Risk Management

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesMicroservicesPythonPyTorchTensorflowTerraform

About the role

Key responsibilities & impact

Spearhead development of AI-powered solutions and drive technical strategy
Collaborate with senior stakeholders, product leadership, and cross-functional teams to architect, build, and scale enterprise-grade AI systems
Design and lead implementation of complex enterprise-scale AI systems, including multi-component pipelines, RAG architectures, and autonomous AI agents
Architect scalable AI model integration strategies using robust APIs, distributed data pipelines, and microservices
Lead adaptation and customization of AI models for legal, tax, fraud, and compliance domains
Define technical standards and best practices for AI system architecture
Lead evaluation and strategic adoption of emerging AI techniques
Oversee proof-of-concept projects and technical feasibility assessments
Track AI research and emerging technologies and translate insights into technical roadmaps
Drive innovation initiatives in emerging AI technology areas
Lead technical architecture decisions and translate business requirements into scalable technical specifications
Mentor senior and junior software engineers
Champion MLOps and LLMOps design and implementation initiatives
Serve as a senior thought leader in executive forums and industry conferences
Design and implement testing frameworks, monitoring systems, and observability solutions for AI model performance
Lead compliance initiatives for ethical AI, security standards, and regulatory requirements
Conduct advanced systems analysis and improve AI infrastructure operations
Establish governance frameworks for AI model lifecycle management
Partner with AI researchers, engineering leadership, design, and product teams to turn AI capabilities into market-leading applications
Optimize AI systems for latency, resource usage, cost efficiency, and user experience
Lead strategic application feature enhancements using advanced AI capabilities
Influence product strategy through technical expertise and market understanding

Requirements

What you’ll need

Bachelor's degree in computer science, Engineering, or equivalent experience
8+ years of experience in software engineering, with at least 4 years in senior or lead roles focused on AI/ML
Expert-level proficiency in Python
Extensive experience with AI/ML frameworks including PyTorch, TensorFlow, and JAX
Deep understanding of machine learning principles, advanced evaluation methodologies, and distributed system design
Proven experience with MLOps/LLMOps and managing the complete lifecycle of enterprise AI-powered applications
Demonstrated expertise integrating AI models into large-scale production systems using APIs, data pipelines, and cloud-native architectures
Advanced experience with AWS, Azure, and GCP
Experience with Docker, Kubernetes, and Terraform
Strong leadership experience driving technical initiatives
Excellent strategic thinking, problem-solving, communication, and presentation skills
Experience influencing senior stakeholders
Experience leading teams building AI-driven systems, agent-based architectures, or enterprise integrations with AI APIs such as OpenAI and Anthropic
Advanced knowledge of vector databases, embeddings, semantic search, and information retrieval systems
Domain expertise in legal, tax, accounting, or other regulated industries
Track record of successful AI product launches and scaling AI systems to enterprise customers
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

Benefits

Comp & perks

Flexible hybrid working environment with 2–3 days a week in the office depending on the role
Flexible work arrangements, including work from anywhere for up to 8 weeks per year
Continuous learning and skill development through Grow My Way programming
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Two paid volunteer days off annually
Opportunities to participate in pro-bono consulting projects and ESG initiatives
Flexible work-life balance policies through Flex My Way