AI​/ML Architect

Job Title: AI/ML Architect

Location: Plano, TX (Onsite)

Duration: Long-Term

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.

THE IMPACT YOU WILL MAKE will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

• 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, functional design 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.

• Should have a bachelors degree in computer science or related field. Masters degree is preferred or equivalent
• 10%2B years of progressive hands‑on experience in application development with 5‑6 years of solution architecture, systems architecture and engineering, analysis and applications programming 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 plus
• AI/ML relevant AWS Professional Certification is preferred

• Proven track record of implementing machine learning solutions, AI services and statistical analysis related projects in production
• Technical leadership with analytical, problem solving and communication skills
• Familiarity with cloud AI/ML platform offerings, features
• Understanding of AI services for speech, vision and text.
• Machine learning background with algorithms
• Expertise in MLOps and Data Ops life cycles and engineering implementation in enterprise
• Ability to code in Python, Spark or R as a programming language

• 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 of 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 resolving conflict.
• 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 Tools
• Relationship Management including managing and engaging stakeholders, customers, and vendors, building relationships.

The Enterprise Architect has the responsibility to architectural design at the reference model level. An enterprise architect must be an expert in the techniques that go into producing designs of complex systems, including requirements discovery and analysis, formulation of solution context, identification of solution alternatives and their assessment, technology selection, and design configuration. Enterprise architects approach their job through the consistent use of recognized design methods such as the TOGAF Architecture Development Method (ADM).

Enterprise architects should have working knowledge of more than one design method and be comfortable deploying parts of methods appropriate to the situation in which they are working.

Skills:

Strong knowledge and experience in the following areas:
Oral/Written Communications, Teamwork, Business Case and Business Scenario, Business Process and Metrics, Organizational Design and Role Design, Solutions Modeling and Building Block Design, Architectural Design Principles. Education/

Work Experience:

1) bachelors degree in computer science, Information Systems or related field
2) Post-graduate degree desired
3) Professional certification(s) desired 10%2B years of progressive experience with an emphasis in software systems applications, design, development and inter-connectivity. Previous experience building web applications.