Solutions Architect facilitating enterprise AI deployments working with data-rich organizations to bring predictive applications into production. Guiding customers throughout the deployment lifecycle to ensure success.
Responsibilities
Lead technical discovery to pinpoint high-feasibility, high-impact use cases where NEXUS demonstrates clear ROI
Partner with Sales to drive the technical win by scoping and building "Art of the Possible" demos, running competitive benchmarks, and prototyping solutions on customer data
Own the technical strategy for customers, maintaining deep relationships with senior stakeholders and defining the long-term strategy for adoption and expansion
Lead the end-to-end delivery project, coordinating Forward Deployed Engineers and customer teams to resolve technical blockers and drive alignment across IT, Governance, and Business stakeholders
Design robust solution architectures and integration patterns that ensure production-grade performance in complex enterprise environments (On-prem, VPC, Legacy systems)
Translate patterns from the field into high-signal engineering tickets for Product and Research to inform the roadmap and model evolution
Codify winning deployment strategies into reusable assets and reference architectures to accelerate the entire Solutions Architect team.
Travel 50% of the time
Requirements
5+ years of experience in technical consulting or customer-facing technical roles (e.g. Solutions Architect, Data Scientist, Sales Engineer, ML engineer)
Proven ability to lead complex technical implementations, spanning traditional machine learning and/or modern Generative AI systems, with an understanding of cloud and on-prem architectures
Strong experience working with enterprise customers, including navigating multi-stakeholder environments and deployment cycles
Strong written and verbal communication skills to convey complex technical concepts to both technical and non-technical audiences
Hands-on technical proficiency with a focus on data manipulation (Python, Pandas, SQL) to execute rapid prototyping and analyze customer datasets independently.
A collaborative mindset - excited to work cross-functionally, manage trade-offs and balance competing priorities across teams
Demonstrated ability to own problems end-to-end, learn quickly, and fill in knowledge gaps as needed to deliver outcomes
Humble, team-oriented attitude with a bias toward action and doing what’s necessary to help the broader team win
Benefits
Competitive compensation with salary and equity
Comprehensive health coverage, including medical, dental, vision, and 401K
Fertility support, as well as paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
Relocation support for employees moving to join the team in one of our office locations
A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action
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