Role overview

Qualifications

Google Cloud expertise
Hands-on experience with Vertex AI and Gemini models
Strong engineering background
Curiosity and continuous learning mindset

Responsibilities

Evaluate solutions for Google Cloud and alternatives
Build and prototype AI solutions
Collaborate with product management and engineers
Stay updated on market AI trends and solutions

Key facts

Full time
English

Hard skills

Google Cloud Platform (GCP) Intelligent Agent Technical Engineering Continuous Training

Other skills

Curiosity
Problem Solving

About the company

Intellisoft Technologies

IntelliSoft Technologies, Inc. was founded in 1997 and specializes in providing software products & integrated solutions to Fortune 500 clients. IntelliSoft leverages CMMI Level 3, ISO, and ITIL best practices to deliver full software development life cycle support to our customers. From vendor neutral perspective we help our clients to evaluate, select and integrate leading edge technologies.Our product portfolio includes Datamorphix.ai - Conversational Analytics AI PlatformEdbrix.com - Enterprise learning management platformHrchex.com - Background Checks & Human Capital Management PlatformOrionox.com - Enterprise VOIP Platform

Company details

Company typeSME

Company size51 - 200

Links

Website LinkedIn See all jobs

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Job description

Please go through the JD,

Position: AI Architect
Location: Columbia, MD / 100% Remote
Duration: 6+ Months
Client: Adtalem Global Education, Inc. - Baltimore
Visa Restrictions: No OPT, CPT & H1b
Sub Vending: No
Pay Rate: $70/Hr on W2 without benefits
Bill Rate: 97.74

Candidate must be authorized to work without sponsorship
Yes
Candidate must have a Public Profile.
Yes

Rolling Contract w/ likely to convert if desired.

Candidates must be able to convert with no current or future sponsorship requirements.
Required Skills
Google Cloud expertise, including hands-on experience with: Vertex AI (pipelines, training, endpoints, feature store) Gemini models and multimodal/agentic capabilities GenAI and agentic AI frameworks Strong hands-on engineering background Ideal for someone ready to grow into architect responsibilities while still building and prototyping solutions Curiosity & continuous learning mindset Ability to evaluate whether a solution belongs in Google Cloud—or if a better alternative exists externally

Manager Notes/Requirements:

Top Must-Haves:

Must have strong Google Cloud
- Both GenAI and Agentic AI
- Need experience with Vertex AI and Gemini
Very hands-on role and will be willing to take a strong senior engineer, with some design/architecture experience.
- Don't need to be a full-blown "Architect level” and prefer someone who is still very hands-on.
- Preferably someone who is ready to move up to architect level

Constantly learning and solutioning. If a business problem cannot be solved in Google Cloud, what are other options outside?

Project Details:

Client is constantly evolving with GenAI and Agenic AI solutions
Look at what is in the market of AI and constantly learn
Use cases are mostly Agentic AI to automate processes. Internal colleagues then to faculty and students.
Working with product management team and engineers in AI Solutions Department.