Intel IT Growth Generation Solution Architect

Description

Leidos's Office of Technology, Digital Modernization Sector team currently has an immediate opening for a Growth Generation Solution Architect with experience supporting Intelligence Community customers.

The position will be primarily telecommuting but will require some onsite work at our Reston HQ and in-person customer meetings around the NCR as needed.

This position will directly support the active growth plans of our Intel IT Division with a focus on intelligence community customers. The selected candidate will work with Growth and Business Development personnel to understand customer needs and lead initial capability validation and solution development and verification. They will bring these solutions forward through white papers, proof of concepts, presentations, and initial proposal artifacts. This position requires a broad and deep understanding of technology and our customers to match solutions to customer requirements and to differentiate Leidos from our competitors. The successful candidate will be able to hold executive level discussions with our customers to further advance their appreciation of Leidos' abilities to meet their needs.

Primary Responsibilities
*Support customer engagements and opportunity strategy development as a technical expert with understanding of Digital Modernization Sector capabilities and repeatable offerings across our 6 Practice Areas.
*Create content for white papers, RFI responses, proposals, and briefings demonstrating the thought leadership capabilities of the organization, as well as supporting various marketing and business development efforts through customer interaction
*Support business development and capture teams to identify, quality, and pursue opportunities.
*Assist capture strategy development through technical leadership, including the creation and marketing of discriminating value propositions
*Support customer meetings and call plan development and execution to understand customer requirements and provide solution presentations to the customer
*Draft OV-1 and initial solution elements and validate with customers
*Support program management and business development reviews and assist in improving performance of existing projects as required
*Conduct pre-sales engineering activities, to include engaging directly with customers in combination with our Business Development and Operations leadership teams

Basic Qualifications
*Requires MS degree with 15+ years of prior relevant experience. Additional years experience may be used in lieu of a degree.
*Experience (at least 5 years) in three of the following areas, with expertise in at least one: Networking Engineering, System Development, AI/ML, Data Science, Data Warehousing, Data Governance, Hardware Engineering, IT Operations, System Architecture, Cloud Architecture, Information Assurance or Cybersecurity, ITIL Framework
*Direct experience working with or for an Intelligence Community Agency
*Strong communication skills (writing, speaking, and listening)
*Experience in writing for white papers, RFI responses, and proposals
*Experience in running trade studies, product evaluations, or research projects
*Experience in customer engagements
*Development and/or Operational program experience
*A TS/SCI clearance is required

Preferred Qualifications
*Experience engaging in business development and capture efforts
*Experience developing digital modernization solutions involving data sciences, machine learning, or artificial intelligence
*Hands on experience with any of the major hyper scalers (AWS, Azure, GCP, or OCI)
*Proactive researcher of technology that wants to always learn more about the latest in the market
*Continuous learner and collaborator

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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