GenAI

Client: Akkodis

End Client: US Bank

Job Title: GenAI

Contract : 6+Month

Location: Atlanta, BayArea, Charlotte, Chicago, Cincinnati, Dallas-Metro, Denver, Milwaukee, MSP, NY, Portland, St. Louis, San Jose,Ca(3 days onsite. Their office schedule is currently TBD - working on clarifying hybrid and what the hybrid schedule looks like) 

Experience: 8+Year

Note:LinkedIn is must

Job Description:

What These Teams Actually Do

The AI Platform team is responsible for building and supporting enterprise AI capabilities. They are not building business use cases or AI solutions directly.

Their role is to:

• Build and maintain AI platform infrastructure
• Enable other teams to consume AI capabilities
• Support cloud-based AI services
• Establish platform standards and controls
• Scale AI capabilities across the enterprise

Must Haves

Infrastructure Engineering Background

Managers repeatedly emphasized that these candidates need strong infrastructure experience.

Candidates should have experience with:

Cloud platforms

• Platform engineering
• Infrastructure automation
• Infrastructure-as-Code
• Enterprise-scale deployments
• This is not an application development team.
• AWS Experience
• AWS is the primary hiring focus.

Current state: Team is more mature on Azure

Future state: Significant AWS expansion planned

Strong AWS experience is highly preferred.

Infrastructure as Code (IaC)

This was one of the strongest requirements discussed.

• Terraform
• Infrastructure provisioning
• Infrastructure automation

Candidates should be comfortable:

• Writing IaC
• Maintaining IaC
• Troubleshooting IaC
• Kubernetes

Candidates should have experience with:

• Kubernetes
• Container orchestration
• Examples discussed:
• EKS
• AKS

Managers indicated Kubernetes experience is important, especially in cloud-native environments.

Enterprise Communication

Candidates need to:

Participate in technical discussions

Work with multiple teams

Influence without authority

Explain technical concepts

Function in a highly collaborative environment

The AI Platform team supports hundreds of teams across the organization.

Documentation & Design

Meena emphasized this heavily.

Candidates should be comfortable:

Writing technical documentation

Creating design documents

Supporting architecture reviews

Explaining design decisions

This role is not "just coding."

Documentation is considered an important part of the job.

Senior-Level Experience

Minimum guidance provided:

5-7+ years of engineering experience

Managers want:

Experienced contributors

Independent problem solvers

Individuals who require minimal hand-holding

Nice to Haves

Azure Experience

Helpful but not required.

Strong AWS candidates can be successful without extensive Azure experience.

Generative AI Exposure

Understanding of:

Generative AI concepts

Large Language Models

AI infrastructure

Candidates should understand the ecosystem, but do not need deep expertise building models.

RAG Framework Knowledge

Shalini referenced:

RAG frameworks

Agentic frameworks

Exposure is beneficial.

AWS Bedrock

Experience with:

AWS Bedrock

Mentioned as a relevant platform experience.

OpenSearch / Kendra

Familiarity with:

OpenSearch

Kendra

Considered relevant supporting technologies.

AgentCore

Awareness or experience is viewed positively.

OpenAI & Anthropic Ecosystems

Candidates may have worked around:

GPT models

Anthropic models

Managers clarified they are not concerned with specific model expertise.

The focus is platform enablement.