A senior hands-on architect who owns technical direction and delivery execution for customer engagements building AI-powered applications and digital platforms, leading distributed engineering teams.
Compensation
$156000 - $234000/yr
Responsibilities
Own architecture direction for agentic AI and full-stack solutions across assigned engagements
Translate business and technical requirements into scalable, sustainable solution architectures
Set the architecture standards and design patterns delivery teams build against
Own code review and architecture review gates; make the final call on technical trade-offs
Write production code for customer engagements approximately 40-60% of time
Client-facing Enterprise Data Architects helping clients transform fragmented data estates into AI-ready foundations, advising on architecture decisions across cloud data platforms, lakehouse/warehouse patterns, and GenAI retrieval.
Responsibilities
Help clients transform fragmented data estates into AI-ready foundations
Advise on architecture decisions across cloud data platforms, lakehouse and warehouse patterns, data products, semantic layers, metadata, lineage, governance, knowledge graphs and GenAI retrieval patterns
Diagnose ambiguous client problems, shape options, make trade-offs explicit, and translate complex data architecture issues into clear decisions
Work in cross-functional teams alongside product owners, data scientists, ML and GenAI engineers, data engineers, business analysts and client stakeholders
Produce target-state architectures, maturity assessments, platform option appraisals, data product designs, governance models, lineage maps, ontology and semantic models, integration patterns, GenAI data-readiness assessments and implementation roadmaps
Lead the design, build, and operation of a next‑generation search and retrieval platform for Thomson Reuters, enabling product teams and AI agents to consume high‑quality, customizable search services.
A practical, hands-on leadership role to build and lead a high-performing product team developing Cephai-powered capabilities inside the CINC platform. The role sits at the intersection of software engineering, system design, and applied AI.
Responsibilities
Lead the direction of a product team in partnership with a Product Lead
Design and build production-grade, Cephai-powered systems that bring the right context into the work
Work closely with operations, product, design, sales, marketing, and client support leaders to solve real client problems
Support highly skilled, motivated team members and keep raising the bar for the team
Help shape architectural patterns and engineering practices across the organization
Lead advanced data science and AI initiatives to support decision making in healthcare.
Responsibilities
Collaborate with business to design, develop, and deploy advanced data science and AI solutions leveraging machine learning, large language models (LLMs), and modern data platforms.
Work with large-scale structured and unstructured datasets including clinical data, publications, real-world evidence, and other healthcare datasets.
Build predictive models and advanced analytics solutions to generate actionable insights and support data-driven decision making.
Develop LLM-powered applications such as AI assistants, knowledge-grounded reasoning systems, and Retrieval-Augmented Generation (RAG) pipelines.
Develop and maintain semantic layers, ontologies, and contextual data frameworks that enable consistent interpretation of data across AI systems and analytics workflows.
Requirements
Btech/Masters in a relevant fields such as Data Science, Statistics, Computer Science or a related discipline
The base compensation range for the role in any of those locations is $136,000 USD - $253,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $118,400 USD - $219,800 USD. For Ontario, Canada, the base compensation range for this role is $140,600 CAD - $190,600 CAD.
Responsibilities
Turn customer and product needs into platform capabilities
Design retrieval APIs and search services
Make retrieval customizable by design
Own content ingestion and indexing
Partner with research and applied science
Requirements
Bachelor's in Computer Science, Engineering, or related field
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