Wednesday, July 1, 2026

[xrecnet] 4 C2C AI CONTRACT POSITIONS:::AI Program Lead(Chicago, IL) AND Interim Consulting Lead (Chicago, IL Minneapolis, MN ) AND AI Ops Leader (Chicago, IL-Minneapolis, MN) AND Product Analytics Lead – Amplitude / Adoption & Experience Insights(Chicago, IL)

REPLY TO imtiaz.m@saranshinc.com ONLY

POSITION 1

AI Program Lead

Location: Chicago, IL

Experience Required: 6-8

Number of Positions : 3

 

Name  Required           Experience

AI & Gen AI - Products & Tools            Yes        >7 years            

 

 

Job Description: 3. JD – Program Lead (AI Tooling & AI DLC Enablement)

 

Role Title

AI Program Lead – Tooling, AI DLC & Solution Architecture

Role Summary

Act as the single-threaded leader responsible for driving:

· AI tooling strategy

· AI Development Lifecycle (AI DLC)

· Jellyfish and Amplitude teams management

· Proposal and solution definition

 

This role is not just coordination — it must actively shape solution architecture, define scope, and drive execution.

 

Key Responsibilities

· Lead end-to-end solution definition and proposal development

· Define:

o AI Development Lifecycle (AI DLC) frameworks

o Intake processes and artifacts

o End-to-end AI delivery lifecycle

· Drive alignment across:

o AI DLC

o Quality Engineering (AIQE)

o App Ops / Observability

· Own development of:

o Solution architecture

o Delivery roadmap

o Execution model

 

· Coordinate and manage:

o Jellyfish and Amplitude teams

o Engineering and product stakeholders

· Facilitate working sessions with stakeholders to:

o Refine scope

o Finalize vision

· Ensure:

o Clear articulation of “what will be built” (key client gap)

· Drive delivery readiness and execution planning

 

Required Skills

 

· Strong experience in:

o Program leadership (AI, Data or Digital programs)

o Solution architecture and proposal building

· Deep understanding of:

o AI/ML lifecycle

o Engineering workflows

· Proven ability to:

o Define large-scale transformation programs

· Strong stakeholder engagement at leadership level

Preferred Skills

 

· Experience in:

o AI factory frameworks

o Agent-based / LLM-based systems

· Exposure to:

o Observability, analytics, and tooling ecosystems

 

Profile Expectation (Critical per Customer)

· Fully dedicated resource (not part-time)

· Ability to work in intense collaboration (even evenings/weekends if needed)

· Strong ownership mindset (not staff augmentation mindset)

· Capable of bridging gap between:

o Vision

o Architecture

o Execution

 

Role Descriptions: Lead end-to-end solution definition and proposal developmentDefine:oAI Development Lifecycle (AI DLC) frameworksoIntake processes and artifactsoEnd-to-end AI delivery lifecycle [TCS Discus...ng and SoW | Meeting]Drive alignment across:oAI DLCoQuality Engineering (AIQE)oApp Ops / Observability [TCS Discus...ng and SoW | Meeting]Own development of:oSolution architectureoDelivery roadmapoExecution modelCoordinate and manage:oJellyfish and Amplitude teamsoEngineering and product stakeholdersFacilitate working sessions with stakeholders to:oRefine scopeoFinalize visionEnsure:oClear articulation of what will be built (key client gap) [TCS Discus...ng and SoW | Meeting]Drive delivery readiness and execution planning

Essential Skills: Act as the single-threaded leader responsible for driving:AI tooling strategyAI Development Lifecycle (AI DLC)Jellyfish and Amplitude teams managementProposal and solution definition

Desirable Skills:

Keyword:

Skills: AI & Gen AI - Products & Tools

Experience Required: 6-8

 

 

POSITION 2

Role: Interim Consulting Lead

Location: Chicago, IL Minneapolis, MN

Experience Required: 8-10

Number of Positions : 3

 

Name  Required           Experience

AI and Automation     Yes        >7 years            

 

 

Interim Consulting Lead

Purpose

Provide temporary leadership across one or more of the four core functions until permanent internal leaders are hired, while accelerating framework definition and capability build-out.

 

Key responsibilities

•       Serve as a consulting lead across delivery, QA, synthetic data, or platform functions during the early build phase.

•       Help define the framework, processes, and practical implementation patterns that the permanent leaders will inherit.

•       Operate as a highly engaged on-site partner rather than a remote advisor or slide-focused consultant.

•       Support hiring, interviewing, and early team formation while ensuring momentum is not lost because of slow HR processes.

•       Transfer knowledge to internal leaders and teams so the model remains scalable and does not create long-term consulting dependency.

 

Role requirements

•       Proven experience standing up delivery and governance capabilities in new AI environments.

•       Ability to move quickly, work collaboratively, and operate under close executive scrutiny.

•       Strong practitioner mindset, with both strategic and operational depth.

•       Ability to communicate, challenge assumptions, and actively participate in design decisions.

 

Role Descriptions: Interim Consulting Lead

Skills: AI and Automation

Experience Required: 8-10

 

POSITION 3

Role: AI Ops Leader

Location: Chicago, IL-Minneapolis, MN

Experience Required: 10+

Number of Positions : 3

 

Name  Required           Experience

AI and Automation     Yes        >7 years            

 

 

Must Have Technical/Functional Skills

•       Strong expertise in AI Ops / MLOps / LLM Ops practices

•       End-to-end model lifecycle management

•       Advanced model monitoring, observability, and alerting frameworks

•       Drift detection, performance tracking, and automated retraining

•       CI/CD and DevSecOps for AI/ML systems

•       Scalable deployment architectures for AI/ML and LLM

•       AI governance, risk, security, and compliance frameworks [

•       AI platform engineering and operational tooling experience

•       Performance optimization (latency, cost, scalability) for AI workloads

•       Strong experience in automation of AI operations workflows

•       Data pipeline integration and ML infrastructure management

•       Cross-functional collaboration with engineering, data, and platform teams

 

Roles & Responsibilities

•       Define and implement AI Ops / MLOps / LLM Ops strategy for enterprise AI platforms

•       Manage end-to-end AI operations lifecycle (deployment, monitoring, scaling, optimization)

•       Establish model monitoring, observability, and alerting frameworks for production AI systems

•       Implement model lifecycle management (versioning, deployment, retraining, rollback, drift detection)

•       Define and track AI Ops KPIs (performance, reliability, incident reduction, automation efficiency)

•       Ensure high availability, scalability, and performance of AI systems in production

•       Drive adoption of CI/CD and DevSecOps practices for AI/ML systems

•       Implement governance, risk, security, and compliance controls for AI systems

•       Collaborate with AI engineering, data, and platform teams for seamless operation

•       Manage incident response, root-cause analysis, and continuous improvement for AI system

•       Optimize cost, latency, and resource utilization of AI workloads

•       Drive automation of AI operations processes and workflows

 

Position 4

Job Description: 2. JD – Amplitude (Product Analytics & Adoption Lead)

Role Title
Product Analytics Lead – Amplitude / Adoption & Experience Insights

Role Summary
Lead implementation and adoption of Amplitude for product analytics, enabling measurement of user behavior, feature adoption, and experience insights across AI-driven applications.

The role will ensure business stakeholders can assess adoption, usage patterns, and decision insights across applications.

Key Responsibilities
· Own implementation, rollout, and scaling of Amplitude platform
· Enable tracking of:
o Feature usage and product adoption
o User behavior and engagement
o Acceptance vs override vs trust signals in AI outputs
· Work closely with:
o Product teams
o Engineering teams
o AI application teams
· Drive integration of Amplitude with:
o Applications under development
o AI-powered workflows

· Define:
o Event tracking strategy
o Instrumentation standards
· Build dashboards for:
o Adoption metrics
o Product usage insights
· Support ongoing enhancements of analytics and reporting

Required Skills
· Strong hands-on experience with Amplitude (implementation and instrumentation)
· Expertise in:
o Product analytics
o Event tracking frameworks
· Experience integrating analytics platforms with applications
· Knowledge of:
o Data pipelines
o API-based integrations

Preferred Skills
·Experience in AI-driven applications and user interaction analytics
· Understanding of:
o Experimentation frameworks
o Behavioral analytics

Profile Expectation (Critical per Customer)
· Ability to quickly take over platform from product team
· Strong capability to work across:
o Business + technical stakeholders
· Capable of scaling adoption across multiple applications

Role Descriptions: Product Analytics Lead  Amplitude / Adoption & Experience Insights
Essential Skills: Product Analytics Lead  Amplitude / Adoption & Experience Insights
Desirable Skills:
Keyword:
Skills: AI & Gen AI - Products & Tools
Experience Required: 8-10


Preferred Skills
·Experience in AI-driven applications and user interaction analytics
· Understanding of:
o Experimentation frameworks
o Behavioral analytics

Profile Expectation (Critical per Customer)
· Ability to quickly take over platform from product team
· Strong capability to work across:
o Business + technical stakeholders
· Capable of scaling adoption across multiple applications

Role Descriptions: Product Analytics Lead  Amplitude / Adoption & Experience Insights
Essential Skills: Product Analytics Lead  Amplitude / Adoption & Experience Insights
Desirable Skills:
Keyword:
Skills: AI & Gen AI - Products & Tools
Experience Required: 8-10

 

 

 

 

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Md Imtiaz

Senior US IT Recruiter
 

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imtiaz.m@saranshinc.com
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