You will build APIs and orchestration layers that integrate with ML systems, support complex retrieval workflows, and deliver grounded, verifiable results to customers at scale.

You will work across backend systems that power Kensho's GenAI platform, Data Retrieval Agents, and the application architecture behind our established foundational AI toolkits like Kensho Link or NERD.

You will collaborate closely with colleagues across Product, Machine Learning, Infrastructure, Design, and other Application engineers.

Responsibilities:

• Build High-Quality Backend Systems: Design, develop, test, and maintain backend services and APIs that power Kensho's AI applications, ensuring they are reliable, secure, and performant.
• Develop Retrieval and Orchestration Services: Create APIs and services that orchestrate data retrieval workflows, integrate with ML systems, and support grounded, verifiable outputs for GenAI (LLM based) applications.
• Optimize Backend Performance: Identify and resolve latency, throughput, and scalability issues across distributed systems to ensure smooth operation under high-load and real-time retrieval scenarios.
• Ensure Robust Architecture: Contribute to architectural decisions, implement clean service boundaries, and build backend foundations that support both our GenAI platform and established ML toolkits like Link and NERD.
• Maintain Operational Excellence: Implement monitoring, logging, alerting, and instrumentation to ensure system health, observability, and rapid issue detection.
• Strengthen Security and Privacy: Apply best practices for API security, authentication, authorization, and data privacy in compliance with Kensho and S&P Global standards.
• Improve System Reliability: Identify technical debt, propose practical improvements, and enhance code quality, maintainability, and fault tolerance across the stack
• Collaborate Across Teams: Work closely with Product, Machine Learning, Infrastructure, and Design teams to align backend capabilities with user needs and product direction.
• Contribute to User Experience: Build backend components that enable smooth, intuitive, and reliable user experiences in customer-facing applications.
• Prototype and Experiment: Validate new ideas through prototypes, instrumentation, and data-driven experimentation to support innovation and rapid iteration.

Requirements:

• 5+ years of direct experience developing customer-facing APIs within a team
• Experience developing RESTful APIs using a variety of tools
• Experience working across many stages of the software development lifecycle
• Sound reasoning about the behavior and performance of loosely-coupled systems
• Proficiency with algorithms (including time and space complexity analysis), data structures, and software architecture
• Familiarity with CI/CD practices and tools to streamline deployment processes.
• Experience with containerization technologies (e.g., Docker, Kubernetes) for application deployment and orchestration.
• Strong understanding of distributed system concepts, concurrency, and event-driven architectures
• Experience building and scaling high-volume, low-latency backend services
• Hands-on experience with messaging, task queues, or workflow systems such as Kafka, RabbitMQ, Celery, or similar
• Experience deploying and operating backend systems on a major cloud platform (AWS preferred)
• Experience with observability tools and best practices, including metrics, tracing, and structured logging
• Thoughtful and efficient communication skills (both verbal and written)
• Experience turning abstract business requirements into concrete technical plans

Benefits:

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards,small perks can make a big difference.

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You will shape and execute Kensho's global AI partnerships agenda , from initial qualification through operational launch , while simultaneously owning the success of a focused portfolio of strategic accounts worldwide, helping them unlock full value across Kensho's API, enterprise products, and developer tooling.

Responsibilities:

• Execute Kensho and S&P Global's AI partnerships agenda
• Develop deep relationships with established partners and identify new impactful opportunities
• Serve as the day-to-day owner to maintain relationships with existing partners and identify growth opportunities
• Lead cross-functional coordination and alignment across sales, product, and legal
• Own a portfolio of strategic clients and drive measurable adoption and expansion
• Enable conversion from trials and identify levers to accelerate time-to-value during the post-sale phase
• Problem-solve issues with both internal teams and client teams

Requirements:

• Experience with financial institutions, investment banking, etc.
• Excellent problem-solving and communication skills
• Technical fluency to engage credibly with developers, PMs, and technical buyers on AI/ML concepts, APIs, and software implementation patterns
• Track record of managing complex, senior-level relationships
• Demonstrated ability to operate in ambiguous, fast-moving environments and build structure where none exists
• Willingness to travel up to 25% for partnership and client needs

Benefits:

• Medical, Dental, and Vision insurance
• 100% company-paid premiums
• Unlimited Paid Time Off
• 26 weeks of 100% paid Parental Leave
• 401(k) plan with 6% employer matching
• Generous company matching on donations to non-profit charities
• Up to $20,000 tuition assistance toward degree programs
• Plentiful snacks, drinks, and regularly catered lunches
• Dog-friendly office
• Bike sharing program memberships
• Compassion leave and elder care leave
• Mentoring and additional learning opportunities

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Your responsibilities span deep technical leadership, people management, and cross-functional collaboration.

Key responsibilities include:

• Leading high-quality backend delivery
• Developing retrieval and orchestration systems
• Driving performance and operational excellence
• Strengthening system architecture
• Ensuring security and compliance
• Improving reliability and managing technical debt
• Developing engineering talent
• Managing priorities and delivery
• Collaborating across teams
• Supporting user experience through backend excellence
• Fostering innovation and experimentation
• Modeling Kensho's culture and values

Requirements:

• Overall 8+ years of experience, with at least 4+ years of hands-on experience in developing customer-facing APIs within a team
• At least 3 years of experience developing production-grade software and leading remote or multi-site teams of 3-4+ engineers
• Experience developing RESTful APIs using a variety of tools
• Strong understanding of distributed system concepts, concurrency, and event-driven architectures
• Experience building and scaling high-volume, low-latency backend services
• Sound reasoning about the behaviour and performance of loosely coupled systems
• Proficiency with algorithms, data structures, and software architecture
• Experience with CI/CD practices and tools to streamline deployment processes
• Experience with containerisation technologies for application deployment and orchestration
• Experience deploying and operating backend systems on a major cloud platform
• Experience working across all stages of the software development lifecycle
• Thoughtful and efficient communication skills
• Experience using quantitative and qualitative measures to assess and improve the health of teams and projects
• Experience providing ongoing technical and interpersonal coaching and performance management
• Experience turning abstract business requirements into concrete technical plans

Technology you'll encounter:

• Python, Flask, FastAPI, Django REST Framework
• PostgreSQL, Celery, RabbitMQ, Redis, Kafka, OpenSearch
• AWS, Docker, Kubernetes, Sentry, Prometheus
• Git, Jenkins, Github Actions, Jsonnet
• Terraform, Grafana

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As a Senior ML Engineer, you will work across a broad set of machine learning areas at Kensho. This includes building retrieval-driven AI agents that ground LLM outputs in trusted S&P data, as well as developing and operating production-grade machine learning systems that power our essential AI toolkits like Kensho Link or NERD.

You will partner with ML engineers, backend engineers, and product managers to drive the next generation of Kensho's AI products. You will have the opportunity to influence key architectural decisions, experiment with new approaches, and accelerate the pace at which we prototype, develop, and maintain high-impact ML solutions.

Responsibilities:

• Develop Advanced ML Systems: Create, refine, and deploy machine learning systems that solve complex business problems and power Kensho products.
• Build Retrieval-Driven AI Agents: Design AI agents that fetch, validate, and structure data from S&P datasets, ensuring answers produced by LLMs are grounded in S&P's data universe.
• Evaluate LLM-based Agents: Identify and resolve performance gaps in both online and offline settings, addressing issues such as performance, latency, memory usage, compute efficiency, and feature consistency.
• Work With Domain Specific Data: Leverage proprietary structured and unstructured datasets, deep dive to have domain understanding, work with Subject Matter Experts (SMEs).
• Scale ML Applications: Optimize and scale ML systems to support high demand, efficient resource utilization, and reliable production behavior.
• Reduce Technical Debt: Proactively identify areas of the stack that can be improved, and propose solutions that strengthen reliability and maintainability.
• Taking Initiative: Scope, plan, and execute ML initiatives that develop core capabilities across Kensho products.
• Collaborate Across Teams: Work closely with Data, Product, Design, and Engineering teams to ensure smooth operations and contribute to long-term product vision.
• Improve User Experiences: Partner with Product and Design to develop ML-driven functionality that enhances user workflows and aligns with business needs.
• Drive the ML Lifecycle: Engage in all phases of the ML lifecycle, from problem framing and data exploration to model deployment and production monitoring, ensuring continuous improvement.

Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• 5+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), and information retrieval systems, including designing, shipping, and maintaining production systems.
• Strong proficiency in Python.
• Experience reading and understanding SQL databases and writing queries for specific access patterns.
• Proven experience building ML pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation.
• Demonstrated effective coding, documentation, collaboration, and communication habits.
• Strong problem-solving skills and a proactive approach to addressing challenges.
• Ability to adapt to a fast-paced and dynamic work environment.
• Experience working with machine learning libraries/frameworks for Large Language Model (LLM) orchestration, such as Langchain.

Benefits:

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards,small perks can make a big difference.

Job Data by YubHub.

You will be responsible for ensuring the reliability, scalability, and security of both business-critical internal systems and external, customer-facing services.

Key responsibilities:

• Own and operate production services supporting critical financial applications with a strong focus on availability, performance, and reliability.
• Design, build, and manage AWS infrastructure, including EKS-based clusters, across lower and production environments.
• Provision and manage infrastructure using Terraform (Infrastructure as Code) with a strong automation-first mindset.
• Deploy, scale, and troubleshoot applications running on Kubernetes, including cluster creation, upgrades, and lifecycle management.
• Build and maintain automation frameworks and tooling (Python-based) to reduce operational toil and prevent recurring incidents.
• Monitor system health using metrics, logs, and alerts; continuously tune alerts, dashboards, and runbooks.
• Troubleshoot complex issues spanning clusters, networking, certificates, deployments, and application behavior.
• Manage certificate lifecycle and expiration, ensuring secure and uninterrupted service operation.
• Collaborate with InfoSec, Vulnerability Management, and Network Security teams to maintain a strong security posture.
• Collaborate with L1/L2 teams, helping them understand infrastructure and operational best practices.
• Participate in on-call and lead incident response, drive root cause analysis, and ensure effective post-incident remediation and learnings.
• Identify architectural anti-patterns and drive improvements by reviewing new services for production readiness, resiliency, and secure design prior to release.
• Establish and enforce production readiness standards, including deployment strategies, rollback plans, and observability requirements.
• Optimize infrastructure cost and resource utilization without compromising reliability and performance.

Requirements:

• 6+ years of experience in SRE, DevOps, Platform, or Infrastructure Engineering roles.
• Strong software engineering background, with hands-on Python development used for automation, tooling, and system reliability.
• Experience building or supporting scalable, distributed systems in production.
• Deep experience with AWS cloud environments, including AWS, IAM, networking, and access controls.
• Strong hands-on expertise with similar tools like Kubernetes (EKS preferred): cluster creation, deployments, scaling, and troubleshooting.
• Solid understanding of networking fundamentals (VPCs, routing, DNS, load balancing, security groups).
• Experience with CI/CD pipelines, deployment tools, and infrastructure automation.
• Working knowledge of databases and query optimization, and understanding how applications behave under load.
• Familiarity with similar tools like Kafka or other messaging systems.
• Comfortable conducting code reviews and participating in coding-focused interviews.
• Strong operational mindset with experience in incident management and on-call rotations.
• Clear communicator and collaborative teammate who values documentation and knowledge sharing.

Benefits:

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards,small perks can make a big difference.

Job Data by YubHub.