Jobs at Inception (Now Hiring) — 31 open

Overview:

Responsibilities:

• Lead the Solutions Engineering function across Inception42’s AI product and platform portfolio, setting the operating model, technical standards, and execution rhythm for customer-facing technical work.

• Own technical solution strategy for strategic customer engagements, from discovery and architecture through validation, deployment planning, and production readiness.

• Partner with Commercial teams to qualify opportunities, shape technical narratives, manage solution complexity, and ensure commitments are grounded in product capability and delivery reality.

• Translate customer requirements, operational constraints, data environments, security needs, and integration patterns into clear solution architectures and implementation paths.

• Work closely with Product and Engineering to feed customer requirements, deployment learnings, product gaps, and technical blockers into roadmap decisions.

• Collaborate with Applied Science teams to explain AI capabilities, model behavior, evaluation approaches, constraints, and trade-offs in ways that are technically accurate and decision-ready.

• Build repeatable mechanisms for demos, proofs of concept, technical workshops, solution design reviews, reference architectures, and deployment handoffs.

• Establish high standards for technical documentation, architecture artifacts, customer-facing materials, validation plans, and solution readiness gates.

• Lead and develop a team of solutions engineers and architects with strong technical judgment, customer credibility, and execution discipline.

• Drive alignment across product, engineering, delivery, security, legal, and customer stakeholders when requirements, timelines, risk, or architecture decisions need clear resolution.

• Improve the quality and repeatability of solution deployment by identifying patterns across customers, reducing bespoke work, and turning field learnings into productized capabilities.

• Represent Inception42 in senior customer and partner conversations where technical depth, product judgment, and deployment credibility are required.

Qualifications:

• Senior leadership experience in solutions engineering, sales engineering, customer engineering, solution architecture, technical field engineering, or enterprise AI/product deployment.

• Strong technical depth across AI products, software architecture, data platforms, APIs, cloud infrastructure, security, integration patterns, and production deployment environments.

• Proven ability to lead customer-facing technical teams that operate across discovery, architecture, demos, proof of concept execution, validation, and production handoff.

• Experience working with complex enterprise or national-scale customers where reliability, security, data governance, procurement complexity, and stakeholder alignment matter.

• Strong product judgment, with the ability to distinguish between customer-specific asks, roadmap-worthy patterns, and delivery risks.

• Ability to communicate clearly with executives, engineering teams, applied scientists, commercial teams, and customer technical stakeholders.

• Strong systems thinking, with the ability to connect product capability, customer workflows, technical architecture, delivery effort, operational readiness, and business value.

• Experience building operating models, technical standards, team structures, and repeatable processes for scaling a solutions engineering function.

• High ownership mindset, strong execution discipline, and comfort making decisions in ambiguous, high-stakes environments.