Beyond projects, Brighture serves as a talent partner, placing fractional and interim leadership and embedding AI engineers and scientists into your delivery cadence. Sourced from a curated network of veteran ex-engineers and scientists of Fortune 500 companies and top academic institutes across India, Japan, Australia, the US, Canada, Germany, and the UK. Billed by project, milestone, time, or interim cover.
Most teams don't need a full C-suite of AI executives, they need senior judgment on tap, with deep operating experience and the humility to hand off. Brighture provides that across four roles, on fractional, interim, or full-time terms.
Architecture, technical roadmap, hiring, vendor decisions, and the engineering culture that ships. Available fractional, full-time, or interim, including during executive searches.
✦ Founder currently serves as fractional CTO at SMART Battery Analytics.
The senior AI operator, owning AI initiative prioritization, the GenAI & agentic strategy, model and vendor selection, evaluation rigor, and governance for the AI risk surface.
Information architecture, internal systems, security posture, and the slow-burn modernization work that quietly determines whether AI initiatives can land at all.
Data strategy, data platforms, governance, and the lineage work that makes AI auditable. Often the unlock that makes the rest of the AI roadmap real.
Senior AI PMs to shape requirements, evaluation harnesses, rollout plans, and the human-loop design for GenAI, agentic, and applied-ML products. Drawn from operators who have shipped AI inside both enterprise and venture-backed teams.
Useful for teams making their first AI product, teams adding a GenAI surface to a mature product, or PM orgs that need a second opinion on a contested AI roadmap.
For teams that need raw delivery capacity, not advisory, Brighture embeds vetted AI engineers, MLOps engineers, and applied scientists directly into your sprints. They report into your tech lead, work in your tooling, and leave behind documentation your team owns.
RAG pipelines, agent orchestration, evaluation harnesses, prompt and tool design, engineers who can ship a production GenAI surface and operate it.
→Training pipelines, feature stores, model serving, observability, retraining workflows. The plumbing that decides whether your ML org compounds or collapses.
→Forecasting, ranking, anomaly detection, time-series, computer vision, academia-grade modeling with industry-grade discipline about evaluation and shipping.
→The unglamorous unblockers, ETL/ELT pipelines, warehouse modeling, BI tooling, and the analytics work that makes AI initiatives provably valuable.
→AWS, Azure, GCP, and hybrid architectures, including air-gapped, on-prem, and regulated environments. Security and compliance considered from day one.
→Specialists drawn from heavy academia, battery analytics, autonomy, control theory, cyber-physical systems, NLP, computer vision, for problems where the moat is in the modeling, not the framework.
→Every team has a different relationship with risk, capacity, and runway. Brighture engagements adapt to all of them, we'll meet you where the calendar makes sense.
Two to ten week engagements, POCs, audits, architecture reviews, a defined deliverable. Best for de-risking a vendor choice, a board narrative, or a funding milestone.
Multi-quarter and multi-year engagements, fractional executive seats, embedded delivery teams, ongoing platform partnership. Quarterly reviews. Real continuity.
Fixed scope, fixed price, fixed exit. Best when the question is well-defined and the surprise budget is small.
Fees tied to acceptance of named deliverables. Common in grant-funded and gated programs.
Monthly or quarterly retainers, hours guaranteed, scope can flex with the roadmap.
Step-in roles during executive searches, leaves, or transitions. Clean handoff to permanent hire is part of the deliverable.
Every fractional executive and every engineer we place is a veteran ex-engineer or scientist from Fortune 500 companies and leading academic institutes, drawn from senior operators and researchers across seven countries. Built across the founder's careers at MIT, Boeing Flight Sciences, Fluence Energy, and the broader Greater Boston AI ecosystem.
The bench leans heavily on senior operators with at least a decade of shipping experience, and on researchers from MIT, Tokyo Tech, the IITs, Oxbridge, Australian Group of Eight, German technical universities, and partner institutions across Canada. Every introduction is by referral, never job board.
Fortune 500 alumni domains include enterprise infrastructure (Dell-class), grid-scale energy (Fluence-class), aerospace and autonomy (Boeing-class), and consumer agentic AI, the industries Brighture itself has operated in.
See the Global Network →Tell us the shape of the gap, leadership, product, or delivery capacity, and the time horizon. We'll come back with two or three named profiles, not a brochure.
