Elastic
Senior Solutions Architect - Federal Civilian
$46K–$243K
Maryland, United States +1 · Senior · Full-time · Posted Oct 30, 2026
- Location
- Maryland, United States
United States - Experience
- 4+ years in a Solutions Architect, Systems Engineer, or Technical Presales Consultant role.
- Visa sponsorship
- An export license may be required as a condition of employment for individuals located in or nationals of the listed sanctioned countries or regions.
About the job
Serves as the lead technical advisor to Federal Civilian customers, designing and demonstrating Elastic-based solutions and guiding technical engagements throughout the sales lifecycle.
What you'll do
- Lead account technical strategy and advise agencies on mapping mission requirements to Elastic solutions.
- Deliver technical demonstrations, proofs of concept, and architectural prototypes for search, observability, and security use cases.
- Collaborate with partners and advocate for federal requirements with Elastic product and engineering teams.
What they ask for
- 4+ years of experience as a Solutions Architect, Systems Engineer, or Technical Presales Consultant in enterprise software or federal high-tech.
- Familiarity or direct experience supporting federal mission areas.
- Demonstrated success leading technical evaluations and analysis of alternatives, overcoming technical objections, and articulating ROI.
- Ability to influence technical decision-makers and communicate effectively with technical teams and executive audiences.
Nice to have
- Design experience with AI systems, foundation models, and closed LLM.
- Experience in Machine Learning (supervised and unsupervised), data resilience and failover architectures, or systems designs.
Pay
$107,500 — $170,100 USD (base salary); $46,000 — $72,800 USD (target variable); $153,500 — $242,900 USD (On-Target Earnings)
Tools
Elastic Stack, AI systems, foundation models, closed LLM, Machine Learning, SIEM, XDR, Zero Trust
AI focus
Design AI systems, foundation models, and closed LLM solutions, using data systems to provide secure enterprise context; keep pace with AI/ML trends.
Model-written summary · the original posting is authoritative