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Artificial Intelligence/Machine Learning (AI/ML) Solution Architect/Engineer

DescriptionLeidos is seeking a qualified candidate to join our National Security Sector - Engineering, Integration, and Operations Business Area, Office of Technology who will support ongoing and future initiatives and solutioning related to AI/ML technologies.We offer competitive compensation, retirement and paid leave packages, health and wellness programs, career development trainings and certifications, income protection, employee stock purchase plans, and family benefits.Take your career in the direction you want to go. Use your creativity and subject matter expertise to realize Digital Transformation across a variety of technology disciplines such as Cyber, Information Assurance, Machine Learning/Artificial Intelligence, Data Science, and more.Primary Responsibilities:•Provide AI/ML technical leadership and for delivering an innovative product, service or, at higher levels, a combination of products and services that address a customer's specific business problem. Duties may include developing innovative approaches and solutions, using non-quantitative tools and guidelines from experience.•Research, develop, and implement complex AI/ML solutions for internal initiatives and customer programs.•Lead the creation of AI architectures with varying frameworks and deployment models to devise and execute AI architecture strategies.•Be the key liaison between data scientists, data engineers, developers, operations (DevOps, DataOps, and MLOPs) and business leaders to govern and scale AI initiatives.•Lead key captures and their technical solutions (RFI & RFP responses) and program execution to ensure delivery of differentiated capabilities.•Lead, participant in, and propose R&D and solution development efforts related to AI/ML solutions and associated technologies for successful deployment•Work with program teams, Division leadership, and CTO organization to identify technology and solution roadmaps to improve mission enterprise capabilities and broad Leidos contribution in mission attainment resulting in increased contract growth and improved customer satisfaction•Follow, understand, and implement latest advancements in AI/ML and analytics.Basic Qualifications:•BS Degree in Computer Science, Data Science, Engineering, or related field and 12-15 years of prior relevant experience or Master’s degree with 10-13 years of prior relevant experience. Additional years experience may be used in lieu of a degree.•US Citizenship and an active SECRET security clearance with ability to attain a TOP SECRET/SCI security clearance.•Demonstratable data science and advanced analytics experience including expert knowledge of advanced analytic tools such as SAS, R, and Python along with applied mathematics.•Effective communicator, able to capture action items and status clearly and concisely.•Multitask and manage competing priorities.•Work independently, engaging SMEs when needed, to drive work to closure on-time.•Experience with MS Excel, MS Word, MS SharePoint.•Significant hands-on work in the area of AI/ML may be considered in lieu of degree.Preferred Qualifications:•Top Secret Clearance•Certified Artificial Intelligence Consultant (CAIC ) certification or similar industry-recognized AI/ML certification•Recognized expert technologist with 10+ years’ experience in AI/ML leading-edge technologies•Defense Industry experienceOriginal Posting Date:2024-11-12While 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.Pay Range:Pay Range $122,200.00 - $220,900.00The Leidos pay range for this job level is a general guideline only and 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.#Remote
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What You Should Know About Artificial Intelligence/Machine Learning (AI/ML) Solution Architect/Engineer, Leidos

Are you ready to take your career to the next level? Join Leidos as an Artificial Intelligence/Machine Learning (AI/ML) Solution Architect/Engineer in Myrtle Point, OR! In this exciting role, you'll provide technical leadership to deliver innovative products and solutions that tackle complex business challenges using cutting-edge AI/ML technologies. You'll get to research, develop, and implement advanced AI/ML solutions for our internal initiatives and client programs, influencing the digital transformation landscape. Here, you'll work hand-in-hand with data scientists, data engineers, and business leaders to streamline and expand AI initiatives. As a thought leader, your role will also involve shaping AI architectures and guiding them through varying frameworks and deployment models, ensuring our solutions align with customer needs. With your extensive experience, you'll lead key project captures and technical solutions, fostering R&D efforts and refining our technological roadmaps to enhance mission success and customer satisfaction. At Leidos, we value your creativity and expertise, offering a collaborative environment where you can thrive while enjoying competitive compensation packages, health benefits, and professional growth opportunities. Ready to make a difference in the world of AI/ML? Dive into a fulfilling career with us!

Frequently Asked Questions (FAQs) for Artificial Intelligence/Machine Learning (AI/ML) Solution Architect/Engineer Role at Leidos
What are the primary responsibilities of an AI/ML Solution Architect/Engineer at Leidos?

As an AI/ML Solution Architect/Engineer at Leidos, your main responsibilities include providing technical leadership in the delivery of innovative AI and machine learning products, researching and implementing complex AI/ML solutions, constructing AI architectures, and serving as a key liaison between various teams to ensure the successful governance of AI initiatives.

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What qualifications are required for the AI/ML Solution Architect/Engineer position at Leidos?

The position requires a BS degree in Computer Science, Data Science, Engineering, or a related field, alongside 12-15 years of relevant experience or a Master’s degree with 10-13 years. Additionally, you must have advanced analytics experience, effective communication skills, and US citizenship with an active SECRET clearance.

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How does Leidos support career development for AI/ML Solution Architect/Engineers?

Leidos promotes professional growth through various means, including career development trainings, certifications, and a comprehensive benefits package. This enables AI/ML Solution Architect/Engineers to continuously enhance their skills and expertise while advancing in their careers.

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What programming skills are important for the AI/ML Solution Architect/Engineer role at Leidos?

Proficiency in advanced analytic tools such as SAS, R, and Python is crucial, alongside a solid understanding of applied mathematics. These programming skills will help you develop and implement AI/ML solutions effectively.

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What are the growth opportunities for an AI/ML Solution Architect/Engineer at Leidos?

There are considerable growth opportunities as you will be involved in leading projects, shaping AI strategies, and influencing technology roadmaps, all of which position you for advancement into higher-level leadership roles within the company.

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Common Interview Questions for Artificial Intelligence/Machine Learning (AI/ML) Solution Architect/Engineer
Can you describe your experience with AI/ML technologies?

When answering this question, detail your hands-on experience with specific AI/ML technologies, including tools like Python and R, and provide examples of projects you have led or contributed to, highlighting innovative solutions you implemented.

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How do you approach designing AI architectures?

Discuss your methodology when it comes to creating AI architectures, including how you assess business needs, the frameworks you typically use, and your strategy for ensuring scalability and maintainability in the solutions.

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What is your experience with cross-functional collaboration?

Outline your ability to work with diverse teams, like data scientists and business leaders. Provide an example of a successful project where collaboration was key and how you fostered communication amongst team members.

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How do you stay current with advancements in AI/ML technologies?

Emphasize your commitment to continuous learning by mentioning any industry conferences, journals, or online courses you follow to stay informed on the latest trends and innovations in AI/ML.

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Describe a complex AI/ML solution you've implemented.

Share a specific project detailing its challenges and how your solution addressed them. Highlight your role, the technologies used, and the outcome that benefited the organization or client.

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What methods do you use to evaluate the success of AI projects?

Explain your criteria for success, such as performance metrics, user feedback, or ROI analyses. Provide specific examples of how you've utilized these methods in past projects.

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How would you approach leading a team in an AI development project?

Discuss your leadership style, emphasizing communication, delegation of tasks, and motivating team members. Offer an example of a time you successfully led a similar project.

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What role do data quality and governance play in your AI/ML projects?

Describe the importance you place on data integrity, outlining processes you follow to ensure governance and quality when developing AI/ML solutions.

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Can you discuss your experience dodging project challenges and scope changes?

Share a specific instance where you encountered scope changes or project challenges. Describe how you managed these situations and maintained project alignment with business objectives.

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What do you see as the future of AI/ML in industry applications?

Provide your insights into potential AI/ML trends and their implications for different industries. Discuss any areas where you believe significant advancements will occur and how you aim to contribute to these changes.

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Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. At Leidos, our mission is to make the world safer, healthier, and mor...

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Full-time, remote
DATE POSTED
December 10, 2024

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