Job Title: AI/ML Architect
Location: Plano, TX(Onsite)
Duration: Long-Term
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, Google Cloud Platform) 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.
Qualifications
Should have a bachelors degree in computer science or related field. Masters degree is
preferred or equivalent Desired Experiences
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
Required Skills
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 DataOps lifecycles and engineering implementation in enterprise
Ability to code in Python, Spark or R as a programming language
Soft 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 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.
Additional Skills & Qualifications
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
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