Applied AI/ML Architect/ Reston, Virginia / Plano, TX (Preferred)
1st round video interview, 30min
2nd round in person onsite, 1 hour
Required:
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 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.
Skill Set:
Artificial Intelligence
RAG
Education/Work Experience:
1) Bachelor degree in Computer Science, Information Systems or related field
2) Post-graduate degree desired
3) Professional certification(s) desired 10+ years of progressive experience with an emphasis in software systems applications, design, development and inter-connectivity. Previous experience building web applications
Hiring Manager Overview:
This role is hands on engineering AI/ML. Fine turning, creating agency work flows within other bus apps in FNMA.
Person needs to be expertise in cloud tech, AI/ML, integration of AI workflow. Day to day job architecture experience is a great add on but looking for someone who can start day 1 as hands on.
Hybrid to Plano. Team does meet weekly once or twice. Reston is okay but Plano is preferred. Also expect them to be comfortable in AWS cloud area. Tools like Lambda, RDC, etc. All are very beneficial. Application integration is key, Models may be available but they need to work with team for solutions.
Question 1:
Example of how this person will use AI/ML work experience with existing technology.
Answer: lots of business solutions, single and multi family. Existing application, create database for internal data and have the database pull info to pass to AI and AWS model.
Scenario new solution based on AI agent. May come up with completely new design.
Question 2:
AWS Tools: AWS shop, Sagemakers, Bedrock, F3, Dynama, MySQL, ECS experience is needed.
Question 3:
What would this person doing currently? Like in their most current jobs.
Experience in machine learning artificial intelligence. Sagemaker tools, Bedrock to
Question 4:
How important is Spark, Hive or Airflow experience?
Spark can be helpful, other tools like Hive (exposure is helpful)
Kiran Kumar
Key Business Solutions, Inc.
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