Senior Technical Developer (Forward Deployed Engineer)

K2 Partnering Solutions provides specialized technology services, focusing on enterprise software consulting, recruitment, and training. They are currently seeking a Senior Technical Developer to join their client's AI & Data Labs team, responsible for building and deploying end-to-end AI systems while ensuring production discipline and collaboration across teams.

Responsibilities:

• Collaborate with a pod of elite, AI-native full-stack engineers with a bias to action to rapidly build and deploy end-to-end AI systems, covering the full arc from problem framing to MVP to deployed workflow; build out the end-to-end technical vision and architecture for the team's solutions, understanding that a running system beats the cleanest architecture diagram
• Champion production discipline for enterprise by establishing and enforcing best practices in context engineering, evaluation, and operational readiness; mandate rigorous testing, including golden sets, regression harnesses, and red-teaming, and set the standard for secure, observable, and auditable code
• Collaborate and perpetuate a culture of high talent density where every member raises the bar to deliver quality at speed
• Participate in working sessions and facilitate collaboration across client stakeholders from engineers to the C-suite, and cross-functional teams to design creative AI systems where success is measured by tangible, quantified outcomes and effective adoption
• Drive delivery in a fast-paced, outcome-accountable environment, operating in 2-to-6-week cycles with direct client feedback; earn client trust, manage risks, surface constraints early, and ensure every deliverable is ready for scale or run in production; champion the use of modern development accelerators such as Claude Code, Lovable, Cursor, and others where policy permits, to increase capacity of delivery, increase quality, and deliver faster

Requirements:

• Minimum 7 years of recent experience shipping end-to-end production secure software systems, with a focus on data, machine learning, and AI-native applications; solid experience with cloud platforms (Azure, GCP, or AWS)
• Experience and passion for working directly with stakeholders to make an outsized impact
• Deep, hands-on knowledge of modern AI technologies and methodologies with demonstrated experience leading teams in designing and implementing advanced AI systems; this includes: AI systems judgment, context engineering, evaluation discipline, full-stack capabilities, model strategy fluency
• Excellent problem-solving, collaboration, and communication skills with the ability to thrive in ambiguous environments; this includes the presence to lead working sessions and drive decisions with impatient executives and skeptical engineers, a hands-on, accountable style that earns trust by 'coaching while building', and the ability to communicate clearly and effectively to diverse audiences (CIO, CISO, CFO, engineers)
• Candidates must be prepared to demonstrate their experience with real work via a portfolio, a GitHub repository, or a structured walk-through of a system they have designed and shipped
• Domestic and global travel may be required
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; we will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
• Bachelor's degree from an accredited college or university in a science or engineering field preferred