Position : Solutions Architect V (AI / ML)
Duration : 12 Months
Location : Reston, VA / Plano, TX (Hybrid)
Job Description : Job Description
As an Applied AI / ML Architect, you will be responsible for leading architectural decisions for the Cloud, and Data Enterprise Portfolios. You must have a deep understanding of technical architecture and have implemented AI / ML solutions in a cloud environment. Knowledge of industry best practices around enterprise AI / ML adoption, security, architectures, and patterns. Experience with micro-services architectures and cloud migration for data is a plus. Technical experience with multi-cloud environments (AWS, Azure, GCP) is a plus. Strong interpersonal communications skill is required.
Position yourself as a trusted advisor to business teams and partner with them to understand their requirements for cloud implementations
- Provide recommendations to clients with respect to AI / ML implementations and prepare
technical implementation roadmaps for adoption
Create application architecture, data architecture, deployment architectures, functionaldesign specifications and assist with other project deliverables as needed.
Design state-of-the-art AI / ML solutions that address customers’ requirements for function,scalability, reliability, security, and performance
Collaborate with other project teams and other laterals such as Information Security,Compliance, Controls etc. on architectural solutions.
Qualifications
Should have a bachelor’s degree in Computer Science or related field. Master’s degree ispreferred or equivalent Desired Experiences
10+ years of progressive hands-on experience in application development with 5-6 years of solution architecture, systems architecture and engineering, analysis and applicationsprogramming in AI related discipline. Technical team leadership role is preferred
A minimum of 5 years’ experience in working with a cloud provider (AWS or Azure)Experience with Architecture principles and TOGAF framework is a plusAI / ML relevant AWS Professional Certification is preferredRequired Skills
Proven track record of implementing machine learning solutions, AI services and statistical analysis related projects in productionTechnical leadership with analytical, problem solving and communication skillsFamiliarity with cloud AI / ML platform offerings, featuresUnderstanding of AI services for speech, vision and text.Machine learning background with algorithmsExpertise in MLOps and dataops lifecycles and engineering implementation in enterpriseAbility to code in Python, Spark or R as a programming languageSoft skills :
Strong ability in communicating in writing or verbally, copywriting, planning and distributing communication, etc.Skilled in creating visual concepts, creating content, and editing content by hand or with the help with computer software to communicate ideas.Working with people with different functional expertise respectfully and cooperatively to work towards a common goal.Influencing including negotiating, persuading others, facilitating meetings, and resolvingconflict.
Skilled in presenting information and / or ideas to an audience in a way that is engaging and easy to understand.Experience identifying and selecting strategic options, and identifying resources to meet the defined objectives ToolsRelationship Management including managing and engaging stakeholders, customers, and vendorsLI-CGTS
TS-0455
