Senior AI & Document Intelligence Lead - Responsible AI
Paralucent · Posted Nov 9, 2026
- Toronto, Ontario, Canada
- Senior
- 8+ years
1–10 jobs· newest first
Senior

$111K–$180KHybrid · Full-time · Senior
Senior

$242K–$486KHybrid · Full-time · Senior
$115K–$180KHybrid · Full-time · Vp
Manager
$150K–$262KSenior
Staff
$150K–$262KFull-time · Staff
Remote · Staff
+10K new in the last hour
Paralucent · Posted Nov 9, 2026
Design and validate AI-assisted capabilities for high-stakes, regulated workflows, leading OCR, classification, metadata extraction, summarization and recommendation use cases while ensuring source grounding, confidence controls, human validation, privacy, security, traceability and reliable fallback.
In this client-facing role, you will help enterprise organizations transform complex reporting, regulatory, and business processes through innovative AI-powered solutions. You will work closely with stakeholders across finance, tax, regulatory, and IT teams to understand their challenges and translate business requirements into practical, scalable solutions.
Annual salary: US salary range of $111,000 to $180,000, depending on location, qualifications, skills, experience, and other relevant factors. Annual bonus: Eligibility for a discretionary bonus, typically paid annually. Equity compensation: Restricted Stock Units (RSUs) granted upon hiring.
Act as technical product owner and lead engineer for Microsoft-based agentic AI solutions supporting REF program and portfolio management.
Lead end-to-end delivery of agentic AI systems that transform work across Roku, owning full lifecycle from discovery to production rollout.
For California Only - The estimated annual base salary for this position is between $242,200 - $486,000.
Serve as a leader and subject matter expert in the practical application of artificial intelligence across the Firm, translating business needs into scalable solution designs and providing architectural guidance from concept through implementation.
For Illinois and New York Only: It is expected that the base salary range for this position will be $115,000 to $180,000.
EY · Posted Nov 11, 2026
Lead and support clients in reimagining and improving business processes and operations through AI-enabled transformation, combining business analysis, process design and practical AI knowledge.
We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance.
Lead the design and delivery of complex, cross-functional features across the product, from architecture through production operations.
For positions in this location, we offer a base pay of $149,800 - $262,200, plus equity (when applicable), variable/incentive compensation and benefits.
Lead technical direction for AI-native engineering at Flow, a conversational AI service desk within ServiceNow, focusing on agent runtime, tool surface, prompt design, retrieval, and evaluation.
Lead the design and delivery of complex, cross-functional features across the product, from architecture through production operations. Build AI-native capabilities: agent loops and the tools they call, prompt and context design, retrieval that grounds and cites its answers, and the eval harnesses that tell us whether a change actually made the product better — with reliability and governance built in. Define and drive how the team uses AI across the development lifecycle: code generation, test automation, review, triage, and documentation. Mentor senior and mid-level engineers and set standards for code quality, observability, and safe AI usage. Partner with product, UX, and other engineering leads to turn ambiguous problems into scoped, shippable plans. Own production quality for your area, including defect triage, release readiness, and gate reviews.
For positions in this location, we offer a base pay of $149,800 - $262,200, plus equity (when applicable), variable/incentive compensation and benefits.
Lead the design and delivery of complex, cross-functional features across the product, from architecture through production operations. Build AI-native capabilities: agent loops and the tools they call, prompt and context design, retrieval that grounds and cites its answers, and the eval harnesses that tell us whether a change actually made the product better — with reliability and governance built in. Define and drive how the team uses AI across the development lifecycle: code generation, test automation, review, triage, and documentation. Mentor senior and mid-level engineers and set standards for code quality, observability, and safe AI usage. Partner with product, UX, and other engineering leads to turn ambiguous problems into scoped, shippable plans. Own production quality for your area, including defect triage, release readiness, and gate reviews.