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)

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Md Imtiaz

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Jul 1, 2026, 10:46:08 AMJul 1
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POSITION 1

AI Program Lead

Location: Chicago, IL

Experience Required: 6-8

Number of Positions : 3

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NameĀ  RequiredĀ Ā Ā Ā Ā Ā Ā Ā Ā Ā  Experience

AI & Gen AI - Products & ToolsĀ Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  YesĀ Ā Ā Ā Ā Ā Ā  >7 yearsĀ Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 

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

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Role Title

AI Program Lead – Tooling, AI DLC & Solution Architecture

Role Summary

Act as the single-threaded leader responsible for driving:

Ā· AI tooling strategy

Ā· AI Development Lifecycle (AI DLC)

Ā· Jellyfish and Amplitude teams management

Ā· Proposal and solution definition

Ā 

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

Ā 

Key Responsibilities

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

Ā· Define:

o AI Development Lifecycle (AI DLC) frameworks

o Intake processes and artifacts

o End-to-end AI delivery lifecycle

Ā· Drive alignment across:

o AI DLC

o Quality Engineering (AIQE)

o App Ops / Observability

Ā· Own development of:

o Solution architecture

o Delivery roadmap

o Execution model

Ā 

Ā· Coordinate and manage:

o Jellyfish and Amplitude teams

o Engineering and product stakeholders

Ā· Facilitate working sessions with stakeholders to:

o Refine scope

o Finalize vision

Ā· Ensure:

o Clear articulation of ā€œwhat will be builtā€ (key client gap)

Ā· Drive delivery readiness and execution planning

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Required Skills

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Ā· Strong experience in:

o Program leadership (AI, Data or Digital programs)

o Solution architecture and proposal building

Ā· Deep understanding of:

o AI/ML lifecycle

o Engineering workflows

Ā· Proven ability to:

o Define large-scale transformation programs

Ā· Strong stakeholder engagement at leadership level

Preferred Skills

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Ā· Experience in:

o AI factory frameworks

o Agent-based / LLM-based systems

Ā· Exposure to:

o Observability, analytics, and tooling ecosystems

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Profile Expectation (Critical per Customer)

Ā· Fully dedicated resource (not part-time)

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

Ā· Strong ownership mindset (not staff augmentation mindset)

Ā· Capable of bridging gap between:

o Vision

o Architecture

o Execution

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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

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Ā 

POSITION 2

Role: Interim Consulting Lead

Location: Chicago, IL Minneapolis, MN

Experience Required: 8-10

Number of Positions : 3

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NameĀ  RequiredĀ Ā Ā Ā Ā Ā Ā Ā Ā Ā  Experience

AI and AutomationĀ Ā Ā Ā  YesĀ Ā Ā Ā Ā Ā Ā  >7 yearsĀ Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 

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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.

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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.

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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.

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Role Descriptions: Interim Consulting Lead

Skills: AI and Automation

Experience Required: 8-10

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POSITION 3

Role: AI Ops Leader

Location: Chicago, IL-Minneapolis, MN

Experience Required: 10+

Number of Positions : 3

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NameĀ  RequiredĀ Ā Ā Ā Ā Ā Ā Ā Ā Ā  Experience

AI and AutomationĀ Ā Ā Ā  YesĀ Ā Ā Ā Ā Ā Ā  >7 yearsĀ Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 

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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

Ā 

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

Ā 

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

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

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

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

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

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


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

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

Role Descriptions: Product Analytics LeadĀ  Amplitude / Adoption & Experience Insights
Essential Skills: Product Analytics LeadĀ  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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imti...@saranshinc.com
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