Overview
Full Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Skills
IT Architecture
Migration
Google Cloud Platform
Google Cloud
Roadmaps
Software Architecture
Data Architecture
Functional Design
Art
Scalability
Collaboration
Information Security
Regulatory Compliance
Computer Science
Application Development
Solution Architecture
Systems Architecture
Team Leadership
Microsoft Azure
TOGAF
Amazon Web Services
Statistics
IT Management
Analytical Skill
Problem Solving
Conflict Resolution
Cloud Computing
Artificial Intelligence
Machine Learning (ML)
Algorithms
Machine Learning Operations (ML Ops)
Python
Apache Spark
R
Soft Skills
Writing
Copywriting
Distribution
Communication
Editing
Negotiations
Facilitation
Presentations
Relationship Management
Management
Relationship Building
Job Details
AI/ML Architect
Location Day One Onsite (Reston, VA)
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.
- 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
- 10+ 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.
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.