AI - Integration Application Architect

TekWissen LLC

Phoenix, AZ
1 day ago

Highlights

Experience with LLM platforms: OpenAI, Anthropic, Azure OpenAI, AWS Bedrock Strong grasp of RAG, vector databases (Pinecone, Weaviate, FAISS) Solid background in APIs, microservices, event driven architecture. Our client is an American multinational information technology services and consulting company and is a leading provider of information technology, consulting, and business process outsourcing services, dedicated helping the world's leading companies build stronger businesses.

Numbers & Facts

Location	Phoenix, AZ
Industry	Computer/IT Services
Salary	$65
Company Size	100 to 499 employees
Year Founded	2009
Website	http://www.tekwissen.com/

Description

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is an American multinational information technology services and consulting company and is a leading provider of information technology, consulting, and business process outsourcing services, dedicated helping the world's leading companies build stronger businesses.

Job Title: AI - Integration Application Architect
Location: Phoenix, AZ
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Onsite / hybrid

Shift: Day

Job Description:

Design how AI models plug into our core systems and applications Integrate LLMs and AI frameworks using tools like LangChain or Semantic Kernel
Build RAG pipelines and work with vector databases where needed Set up APIs and microservices to connect AI into the broader tech stack
Evaluate AI platforms for cost, performance, and compliance fit Handle data privacy, model risk, and monitoring for anything in production Work closely with data science, engineering, and infrastructure teams

Experience :

8to12Yrs

Technology :

Not Applicable

Responsibilities :

8+ years in application/solution architecture, 3+ in AI/ML integration
Hands on experience with LangChain, Hugging Face, TensorFlow, or similar
Experience with LLM platforms: OpenAI, Anthropic, Azure OpenAI, AWS Bedrock Strong grasp of RAG, vector databases (Pinecone, Weaviate, FAISS) Solid background in APIs, microservices, event driven architecture
Comfortable in AWS, Strong coding skills in Python, Java Understanding of MLOps/LLMOps

Years of Experience:

12.00 Years of Experience

TekWissen Group is an equal opportunity employer supporting workforce diversity.

About Company

WE THE TEKWISSEN PEOPLE

TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.

To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.

Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.

It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.

Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.