AI/ML Architect

Overview

Hybrid
$70+
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)

Skills

Editing
Algorithms
Amazon Web Services
Analytical Skill
Apache Spark
Application Development
Art
Artificial Intelligence
Cloud Computing
Collaboration
Communication
Conflict Resolution
Data Architecture
Facilitation
Functional Design
Good Clinical Practice
Google Cloud Platform
IT Architecture
IT Management
Information Security
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Microsoft Azure
Migration
Negotiations
Scalability
Software Architecture
Solution Architecture
Presentations
Problem Solving
Python
R
Regulatory Compliance
Roadmaps
Statistics
Systems Architecture
TOGAF
Team Leadership

Job Details

Location: Plano TX OR Reston, VA (Hybrid)

No Fake GCs

Job Description

-Responsible for leading architectural decisions for the Cloud, and Data Enterprise Portfolios.

-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 & cloud migration for data is a plus. Technical experience with multicloud environments (AWS, Azure, Google Cloud Platform) is a plus.

Responsibilities:

Position yourself as a trusted advisor to business teams & 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, & performance.

Collaborate with other project teams and other laterals such as Information Security, Compliance, Controls etc. on architectural solutions.

Desired Experiences

-10+ years of progressive hands-on experience in application development with 5-6 years of solution architecture, systems architecture & 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 & communication skills.

-Familiarity with cloud AI/ML platform offerings, features.

-Understanding of AI services for speech, vision & text.

-Machine learning background with algorithms

-Expertise in MLOps and dataops lifecycles & engineering implementation in enterprise.

-Ability to code in Python, Spark or R as a programming language.

Soft skills:

-Strong communication skills.

-Skilled in creating visual concepts, creating content, & editing content by hand or with the help with computer software to communicate ideas.

-Influencing including negotiating, persuading others, facilitating meetings, & 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, & identifying resources to meet the defined objectives Tools

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.