Senior Solutions Architect: Federal Supply Chain & Logistics

LMI; Washington (District of Columbia); On-site; USD 160,000 - 200,000; Full time

Job summary

LMI, a leading federal solutions provider, seeks a Principal Solutions Architect for Supply Chain & Logistics in Washington, DC. You will shape technical strategy, architect integrated solutions, and advise on modern architectures across a diverse program portfolio.

You will engage with government stakeholders, collaborate with data scientists, and contribute to growth through technical demonstrations and prototypes. A strong background in data platforms, AI/ML, and modern analytics is expected.

Qualifications

• Bachelor's degree or equivalent combination of education and experience.
• 10+ years of experience in solution architecture, systems engineering, technical consulting, or related roles, including federal programs.
• Ability to lead technical direction and communicate complex concepts to technical and nontechnical audiences.

Responsibilities

• Shape technical strategy and solution direction across supply chain, logistics, industrial base and sustainment programs.
• Architect integrated, mission-focused solutions using proprietary platforms, data assets, and analytics.
• Provide senior technical advisory support to active programs to modernize architectures and expand value.
• Lead technical solution development for business development and capture efforts.

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Operations Research, Supply Chain Management, Logistics or related field

Master's degree in a relevant technical, engineering, analytical, or business discipline

Job description

LMI, a leading federal solutions provider, seeks a Principal Solutions Architect for Supply Chain & Logistics in Washington, DC. You will shape technical strategy, architect integrated solutions, and advise on modern architectures across a diverse program portfolio.

You will engage with government stakeholders, collaborate with data scientists, and contribute to growth through technical demonstrations and prototypes. A strong background in data platforms, AI/ML, and modern analytics is expected.