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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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