AI Program Lead-Interim Consulting Lead-AI Ops Leader

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

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

Pay: $80.00 - $90.00 per hour

Work Location: In person