Pre Sales Engineering Lead

TSPi

. Engage directly with federal health customers and prospective customers, often before formal procurements or RFPs are released .

Posted 10/7/2026full-timeUnited StatesSenior💰 $127,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in AI Engineering, Data Engineering, and Modern Data Platforms, with a strong ability to translate technical capabilities into business value for federal health customers. Proven experience in developing innovative technology solutions, conducting technical discovery, and collaborating across diverse teams in highly regulated environments.

Highest-signal resume keywords

AI EngineeringData EngineeringModern Data PlatformsAWSCustomer Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Solution EngineeringTechnical ConsultingTechnical ArchitectureSoftware DevelopmentDemonstrationsPrototypesProofs of ConceptData SecurityGovernanceInteroperability

Soft Skills

Problem-SolvingTechnical DiscoveryWritten CommunicationOral CommunicationCollaboration

Tools & Technologies

DatabricksSnowflakeAWSAzureGCP

Industry Keywords

Federal HealthHealthcareInsuranceClaimsBenefits

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Engage directly with federal health customers and prospective customers, often before formal procurements or RFPs are released
Lead technical discovery conversations to uncover requirements, pain points, and opportunities
Design and present innovative technology solutions supporting customer acquisition and expansion within federal health accounts
Develop demonstrations, prototypes, proofs of concept, and pilots
Apply AI, data engineering, modern data platforms, and emerging technologies to complex health and healthcare use cases
Translate technical capabilities into mission and business value for technical and nontechnical audiences
Partner with health subject matter experts, engineers, architects, data scientists, growth leaders, and capture teams
Contribute technical expertise throughout capture, solutioning, proposal development, and oral presentations
Incorporate data security, privacy, governance, interoperability, accessibility, and responsible AI into solution design
Develop reusable technical solutions, accelerators, and proof points
Maintain knowledge of emerging technologies and federal health technology priorities to identify opportunities

Requirements

What you’ll need

10+ years of relevant professional experience in technology engineering, solution engineering, technical consulting, architecture, or a related field
Demonstrated experience applying technology within health, healthcare, federal health, insurance, claims, benefits, or a closely related environment
Technical expertise in AI engineering, data engineering, data platforms, cloud or platform engineering, software development, or technical architecture
Experience with modern data platforms such as Databricks, Snowflake, or comparable technologies
Experience with AWS, Azure, and GCP
Experience engaging directly with customers to conduct discovery and develop technology solutions
Experience developing and presenting demonstrations, proofs of concept, prototypes, or pilots
Experience contributing to capture, proposals, or customer solutioning activities, including oral presentations
Experience working within complex, highly regulated, or mission-driven environments
Deep technical expertise in AI engineering, data engineering, data platforms, or a closely related discipline
Strong independent problem-solving skills
Strong technical discovery skills
Excellent written and oral communication skills
Ability to independently develop or lead demonstrations, proofs of concept, and technical proof points
Ability to collaborate across technical, growth, capture, consulting, and subject matter expert teams
Understanding of data security, privacy, governance, and related considerations for regulated environments
Ability to work in a fast-paced environment with multiple priorities and evolving customer requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field preferred

Benefits

Comp & perks

Flexible work arrangements to balance work and personal life
Support for personal well-being
Diverse, collaborative, and open work culture
Meaningful and rewarding work