Lead AI Engineer at Empower AI Inc.

Reston, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Experience, Management Experience, Sales Engineering, Solutions Architecture, Customer Service, Communication Skills, Data Modelling, Analytics, Machine Learning, Programming Languages, Agile Best Practices, Security Products, Technical Documentation, Proof of Concept, Software Development Lifecycle, Training

Industry

IT Services and IT Consulting

Description

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation. Headquartered in Reston, Va., Empower AI leverages three decades of experience solving complex challenges in Health, Defense, and Civilian missions. Our proven Empower AI Platform® provides a practical, sustainable path for clients to achieve transformation that is true to who they are, what they do, how they work, with the resources they have. The result is a government workforce that is exponentially more creative and productive. For more information, visit www.Empower.ai. Empower AI is proud to be recognized as a 2024 Military Friendly Employer by Viqtory, the publisher of G.I. Jobs. This designation reflects the company’s commitment to hiring and supporting active-duty and veteran employees. Responsibilities Highlights of Responsibilities: Provide Pre-Sales support through working closely with AI Solution Engineers and professional services teams. Participate in requirement gathering and technical requirement definition by attending client meeting, interviews, and workshops. Work with the sales team introducing solutions and services, customizing solutions for clients’ business and IT requirements, and assisting in identifying opportunities for up-sell and cross-sell. Providing technical solutions regarding the firm’s security products and services as well as provide customer training. Contribute to future technology architecture roadmap by recommending options from third party/cloud solutions and participating in Proof of Concept (POC)/Prototyping initiatives. Participate in estimation and planning activities within the AI team. Lead project development in all steps of the Software Development Lifecycle, including client requirement definition, architecture design, production deployment, and maintenance activities. Attend trade shows and provide presentations online and offline. Collect feedback and identify technical improvements. Develop technical documents and proposals (eg: RFP, RFI, RFQ, BOMs, quotes, etc.) Become the point of contact and answer all technical questions regarding proposal, installations, configurations, products and services. Develop and/or present in front of technical, non-technical, and executive audiences. Qualifications Requirements: 5 to 10 years of technical and management experience. US Citizen with the ability to obtain and maintain a security clearance. BS/MS in Computer Science, Information Technology, Engineering, or related, equivalent experience. Prior working experience leading large scale federal IT software development projects. Prior working experience with Agile industry best practices, to include version control, automated builds, automated testing, and continuous integration. Preferred Education and Experience: Structured approach to customer interactions. Excellent communications and presentations skills. Experience in sales engineering, solutions architecture, sales support or post-sales customer-facing role supporting Enterprise software products and/or managed services. Be technically adept and professional with excellent customer service and communication skills. Experience working with an ecosystem of AL, ML and DL vendors. Demonstrated ability to think strategically about business, product, and technical challenges. Deep experience with data modelling and analytics solution stacks. Understanding of Machine learning, DNNs, CNNs, recurrent nets, supervised and unsupervised learning, and optimization techniques. Experience in working with some of the following programming languages: Python, R, Java, C/C++, NoSQL/SQL, Hadoop, Spark or comparable products. Technical experience providing expert consultation to the customer in the firm's 'best practices', processes technologies and techniques gleaned from industry exposure. About Empower AI All hiring and promotion decisions at Empower AI are based on merit to bring the best talent available to contribute to our firm’s overall success. It is the policy of Empower AI not to discriminate against any applicant for employment, or employee because of age, color, sex, disability, national origin, race, religion, or veteran status. Empower AI is a VEVRAA Federal Contractor.

Responsibilities

The Lead AI Engineer will provide pre-sales support, work closely with AI Solution Engineers, and assist in defining technical requirements. They will lead project development through all steps of the Software Development Lifecycle and contribute to the technology architecture roadmap.