Hiring for roles centred on human–AI collaboration is accelerating across industries as companies redesign work for agentic AI, says GlobalData.
Jobs referencing human–AI collaboration continued to grow in the second quarter of 2026, underscoring the transformative impact of agentic AI on traditional business models, the intelligence and productivity platform reveals.
“The focus is on not merely about automation but about creating synergies between human intelligence and AI capabilities with the objective of enhancing productivity, improving decision-making, and driving innovation,” says Sherla Sriprada, business fundamentals Analyst at GlobalData.
From pilots to enterprise-wide operating models
In automotive, Canadian Tire Corp’s posting for “director, Engineering Performance & AI Metrics” points to the establishment of an Agile and AI performance measurement practice. The initiative aims to augment traditional agile metrics with new KPIs that reflect total system health, including human–AI collaboration and automation effectiveness.
Meanwhile, Faraday & Future’s “AI Corporate Strategy director” role is leading the transition from human-driven processes to those driven by AI agents, emphasising integration of AI products into existing tool stacks.
Financial services firms are formalising “human-above-the-loop” operating models. Chubb’s “VP, AI Operating Model and Execution” defines what work is retained by employees versus delegated to AI agents, and builds feedback loops, design principles, and responsible AI guardrails into day-to-day execution.
JPMorgan’s “Human-AI Conversational Designer, vice president” focuses on designing end-to-end human–AI experiences across client and advisor journeys, including interaction patterns, service flows, wireframes, and prototypes for agentic AI systems.
Manulife’s “director, Forward Deployed Organization Architect” and State Street’s “Head of process Re-engineering and AI-led operating Model redesign, Managing Director” underscore a shift from isolated AI pilots toward enterprise-wide process architectures that specify handoffs, controls, and measurable interaction points between automation/AI agents and human judgment.
Designing intuitive, ethical agentic experiences
In pharma, GSK’s “product director, Molecule Design Products” role focuses on human–AI interaction and user experience, championing a strategic approach to human–AI collaboration and interaction design for the portfolio to ensure agentic systems provide intuitive, powerful, and ethical experiences for scientists.
Johnson & Johnson’s “Sr. director, Data & Agentic AI Experience, Orthopedics” aims to establish and lead an enterprise AI experience marketplace.
Technology and communications companies are hiring dedicated leaders to scale human–AI teaming across product design, engineering, and go-to-market execution.
Salesforce’s “director, Human‑AI Collaboration” focuses on redesigning roles and workflows to improve usability, trust, and adoption at scale.
DocuSign’s “vice president, Product Design & Research” signals growing investment in agentic interfaces and intelligent workflows built around seamless human–AI interaction.
Cellebrite’s “R&D Director, GenAI Enablement” highlights the push to embed AI coding agents into CI/CD with clear governance and quality gates, while UiPath’s “senior director, GTM Strategy & Execution – Agentic Orchestration” underscores the broader shift toward end-to-end process transformation powered by human–AI–bot collaboration.
In medical equipment, firms are embedding human–AI collaboration into both operational delivery and patient/clinician experiences. Accendra Health’s “director, IMS (Infrastructure Managed Services)” focuses on hybrid support models that balance human-assisted service with AI-driven operations and measurable KPIs/SLAs.
Boston Scientific’s “HR director, AI Organization Transformation” signals workforce redesign, creating AI-era job families and mapping human–AI handoffs while managing change impacts.
Thermo Fisher’s “senior director, AI Delivery & Operations” highlights AI-enabled operating models aimed at significantly amplifying engineer productivity, and Vantive Health’s “director, Human Factors Engineering” reinforces the need to design safe, intuitive human–AI interactions across therapy journeys.
“The rise of AI-driven job roles across industries highlights a significant shift towards a more collaborative and innovative future. As companies continue to explore the potential of AI, the emphasis will be on creating sustainable and scalable models that enhance human capabilities and drive business success,” Sriprada concludes.
