We help enterprise leaders de-risk critical AI and engineering hires, align your talent strategy with roadmap reality, and build teams that ship at scale—not just pass interviews.
Typical clients: CIO, CDO, VP Engineering, and HR leaders at growth-minded enterprises hiring 5–50 AI and engineering roles in the next 12 months.
Share your upcoming AI and engineering hiring goals. We will map the critical roles, risks, and a right-way hiring approach for your org.
We typically respond within one business day. No recruiters spam, ever.
We work alongside your HR and technology leaders to align role design, assessment, and sourcing with your real-world constraints—budget, brand, tech stack, and culture.
We design role definitions and assessment rubrics that surface how candidates think, not just what they have seen—reducing senior mis-hire risk.
We focus on leaders and ICs who can operate in complex orgs, navigate compliance, and build durable AI and engineering capabilities—not just POCs.
We help you prioritize which roles move the needle first, how to phase hiring, and how to structure teams for velocity without losing governance.
We combine executive consulting, structured assessment design, and targeted search strategy to help you consistently hire top-tier AI and engineering talent.
We unpack your AI and engineering roadmap, existing team, constraints, and hiring history. You get a clear view of priority roles, risks, and sequencing.
We co-create role descriptions, success scorecards, and interview loops tailored to AI, data and engineering roles—usable by both HR and line leaders.
We plug into your sourcing (internal, RPO, or search firms), calibrate on candidates, and support offer design so you close the right people with confidence.
A global enterprise with 15+ parallel AI initiatives engaged us to define the right leadership roles, consolidate duplicate efforts, and build a hiring system for senior ML, data, and platform engineers.
Outcome: a coherent AI talent strategy, a repeatable hiring process, and a team positioned to ship production AI systems instead of isolated proofs of concept.
“They helped us clarify which roles we actually needed, redesigned our interview process, and partnered with both HR and engineering to make it stick. The quality of candidates and conversations changed immediately.”
VP Engineering, Global Financial Services Enterprise
We work with a small number of enterprise clients each quarter. All engagements start with a focused diagnostic so we can recommend the right level of support.
A focused 90-minute working session with your technology and HR leaders to pressure-test your AI and engineering hiring plans.
Best for : orgs exploring AI hiring or planning a small number of critical roles.
We design your AI and engineering hiring system end-to-end: role design, scorecards, interview loops, training, and calibration.
Best for : enterprises expecting to hire 5–30 AI, data, and senior engineering roles in the next 12–18 months.
Fractional support across multiple hiring cycles: interview calibration, offer support, and periodic roadmap-to-talent reviews.
Best for : teams that already have volume hiring but need a specialist lens on AI and senior engineering roles.
If you are assessing whether this is the right fit for your organization, these answers may help. We are happy to address specifics during your strategy session.
We primarily work with enterprise and late-stage growth companies that are hiring AI, data, or senior engineering talent at scale. Typical stakeholders include CIOs, CDOs, CTOs, VPs of Engineering, and senior HR/TA leaders who need a more rigorous, strategic approach to technical hiring.
No. We complement your existing recruiting functions. Our focus is on the upfront work that most search partners cannot do deeply at scale: clarifying the right roles, designing assessment systems, training interviewers, and aligning hiring with your roadmap. We often collaborate closely with your internal recruiters and external search firms.
We support both, but the most leverage comes from roles that shape systems and teams: Heads of AI, Directors of Engineering, Principal Engineers, Staff/Principal ML and Data roles, and key platform engineers. Once the system is in place, it can be extended to high-value IC roles as well.
A focused diagnostic and hiring system design typically runs 4–8 weeks, depending on scope, stakeholders, and the number of roles you are targeting. Ongoing advisory and calibration can continue on a quarterly or semi-annual basis.
Start by requesting an Enterprise Talent Strategy Session using the form on this page. We will review your context, confirm mutual fit, and propose a scoped diagnostic. There is no obligation to move beyond that initial conversation.
Share your AI and engineering hiring goals for the next 6–18 months. We will help you identify the critical roles, risks, and first steps to building a hiring system that actually works for your organization.
Tell us about your upcoming AI and engineering hires, and we will follow up with suggested times and next steps.
We currently have limited capacity for new enterprise clients each quarter.
Hire AI & Tech Talent the Right Way
Enterprise talent advisory for AI, data, and senior engineering teams.
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