AI Enterprise Architect (ONLY W2 ROLE)

Title: AI Enterprise Architect

Location:Remote,OR,United States

Type: Contract

(ONLY W2 CANDIDATES)

Description:

Client  is going through an exciting journey implementing Artificial Intelligence (AI) and Machine Learning (ML) solutions at scale. This role provides technical vision and leadership skills to align IT solutions to business outcomes and provide architectural oversight for strategic initiatives impacting Clients AI Strategy.

The Enterprise Architect is responsible for initiating and leading strategic solutions that fulfill specific business and technology outcomes. Solutions include projects, products, systems (including applications, technologies, processes, and information), shared infrastructure services and shared application services. The Enterprise Architect leads the analysis and design tasks to support the development of enterprise solutions that cross multiple domains to ensure that the resulting architecture meets the business needs and align with architecture governance and standards. This position also leads the creation of deliverables that help develop target-state guidance (reusable standards, guidelines, individual parts, platforms, and configurations) for evolving the architecture across the enterprise. The role is responsible for being highly collaborative and interactive across multiple business and IT areas, proactively assist in defining the direction for future projects to ensure strategy alignment.

Responsibilities

• Research, drive, and lead adoption of emerging technology trends, disruptions, and practices relevant to the organization
• Lead and/or facilitate AI strategy development to achieve enterprise goals and objectives
• Actively manage, communicate, and market the AI strategy via creation and maintenance of architecture blueprints, roadmaps, and executive presentations
• Partner with leaders and other architects to lead and/or facilitate supporting Data Strategy to achieve enterprise goals and objectives
• Promote decision-making at the appropriate organizational level and identify opportunities for shared capabilities to reduce costs, improve integration, and reduce duplication
• Lead the architecture and solution definition for strategic initiatives, products, and projects impacting Prime’s AI solutions, environments, and platforms
• Assist in the development of policies, standards, guidelines, and reference implementations that direct the selection, development, implementation, and use of Information Technology within the enterprise
• Maintain awareness, research, drive, and lead adoption of emerging IT trends, disruptions, and practices relevant to AI & ML.
• Engage leadership to identify business and technology-enabled innovation opportunities that enable and drive business outcomes
• Lead the analysis of the business-IT environment to detect critical deficiencies, legacy, and technical debt, and recommend solutions for improvement
• Develop, maintain, and evolve the architecture and solution intent (current state, transition state, and future state) for AI.
• Govern architecturally significant work, aligning it with business and IT strategies, through architectural reviews, solution architecture and application architecture collaboration
• Work closely with the product portfolio owners and product managers from across the organization to drive a robust architectural runway that can support future business requirements throughout the product and solution lifecycle
• Work closely with Enterprise Information Architect, Data Governance, AI Governance, Privacy, and IT security to ensure appropriate treatment of data privacy, protection, access, usage and quality policies and controls within the AI solutions
• Coach, mentor, and collaborate with technical subject matter experts and architecture peers to develop architecture that enables and drive new business capabilities and operating models
• Continuously improve and mature enterprise, portfolio and domain architecture practices
• Other duties as assigned

Minimum Qualifications

• Bachelor’s degree in Computer Science or related area of study, or equivalent combination of education and/or relevant work experience; HS diploma or GED is required
• 10 years of related work experience in Business Analysis, System Design and Development, Systems Engineering, or technical architecture; to include 5 years direct experience working within an Architect role

Additional Qualifications

• Deep experience with AIML platforms, AI RAG and Agentic applications trends and patterns, data lakes, data warehouses, tools and technologies
• Proven track record of successfully modernizing technology capabilities using public cloud services (Google Cloud Platform, Amazon Web Services), event streaming, AI, and Machine Learning
• Significant experience defining and standardizing design and architecture patterns for AI & ML solutions, data integrations, data warehouses, data lakes and data marts
• Experience with the security practices associated with AI and ML
• Knowledge of AI and ML market trends and future state
• Advanced ability to communicate and present effectively at multiple levels of the organization
• Ability to define, plan, initiate and lead architecture and teams for assigned area and scope
• Demonstrate wide understanding of multiple domain areas, with ability to apply practical and pragmatic solution
• Self-learner, ability to work independently and direct the learning and work of others
• Experience handling all of solution types, ranging from organization and process to implementing new system builds, legacy enhancements, commercial-off-the-shelf packages, and Cloud solutions
• Experience as a senior level architect working on significant enterprise initiatives
• Previous experience with enterprise architecture tool and knowledge repository such as Planview CTM / Enterprise Architect, Sparx, or Software AG
• Previous experience with SAFe Agile Framework

Preferred Qualifications

• Practitioner knowledge of ML, AI RAG and Agentic Applications, data integrations, data warehousing, streaming analytics, and data scientist solutions
• Experience with the following technologies: Data Science platforms and tools, data integration, event streaming, Google Cloud Platform Database, Data Analytics, and AI / machine learning services, AWS Cloud Platform Databases, AWS Analytic Services, AWS Bedrock services
• Experience with emerging industry standards and patterns e.g. MCP, A2A
• Experience working with regulatory compliance requirements (HIPAA and/or PCI)
• Previous experience in PBM / health care industry
• Strong experience with software development life cycle and project management principles
• In-depth knowledge of two or more architectural domains (application, infrastructure, integration, and/or security)
• Master’s degree in Computer Science or related area of study, or equivalent combination of education
• Formal Enterprise Architecture training and certification
• Experience modeling Enterprise Architectures with industry standard modeling notation

Required Skills : Deep experience with AIML platforms, AI RAG and Agentic applications trends and patterns, data lakes, data warehouses, tools and technologies Proven track record of successfully modernizing technology capabilities using public cloud services (Google Cloud Platform, Amazon Web Services), event streaming, AI, and Machine Learning Significant experience defining and standardizing design and architecture patterns for AI & ML solutions, data integrations, data warehouses, data lakes and data marts Experience with the security practices associated with AI and ML Knowledge of AI and ML market trends and future state Advanced ability to communicate and present effectively at multiple levels of the organization Ability to define, plan, initiate and lead architecture and teams for assigned area and scope Demonstrate wide understanding of multiple domain areas, with ability to apply practical and pragmatic solution Self-learner, ability to work independently and direct the learning and work of others Experience handling all of solution types, ranging from organization and process to implementing new system builds, legacy enhancements, commercial-off-the-shelf packages, and Cloud solutions Experience as a senior level architect working on significant enterprise initiatives Previous experience with enterprise architecture tool and knowledge repository such as Planview CTM / Enterprise Architect, Sparx, or Software AG Previous experience with SAFe Agile Framework

Regards

Dharma Teja Kotagiri

ERP Analysts, Inc.

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