AI/ML Architect

AI/ML Architect

Reston, VA

12+ Months

3 Days/Week

Hybrid Role

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[1]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
  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.
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  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 relationshi