AI/ML Architect

Job Title: AI/ML Architect

Duration: 6 months with possible extension/ Conversion

Location: Dallas, TX, preferred to come office once in a moth or twice.

Responsibilities:

• Ability of understand AI/ML and it's related documentation
• Knowledge of industry best practices around enterprise AI/ML adoption, security, architectures, and patterns
• Sagemaker experience is a plus
• No hands on coding needed
• Applied knowledge of Gen AI
• TOGAF is a plus
• Candidates who are in line with upcoming technologies in AI/ML space is preferred

Job Description
As an Applied AI/ML Architect, you will be responsible for leading architectural decisions for the Cloud, Data and Infrastructure Architecture Portfolio. 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 bachelor's degree in Computer Science or related field. Master's degree is preferred or equivalent Desired Experiences
8 years of progressive hands-on experience in AI/ML application development with 5-6 years of AI/ML 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
Applied knowledge of Gen AI. 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

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