As Head of AI Platform & Enablement, you will own enterprise AI strategy and delivery for Bullish Group, driving employee adoption, partnering with business leaders to improve workflows, and leading the development of shared AI capabilities.
Compensation
The anticipated base salary for this position is $275,000 - $340,000 + discretionary annual target bonus + performance incentives/benefits.
Responsibilities
Own enterprise AI strategy for Bullish Group.
Identify the most valuable opportunities across business functions, set priorities, and take responsibility for delivery.
Build and lead the AI Platform & Enablement team.
Partner with recruiting to hire the team.
Own the AI capability roadmap and lead development of shared services, including agents, connectors, a skills library, and discovery tools.
Senior Data Engineer in the Data Architecture team, responsible for designing, building and running data pipelines and platform components on Microsoft Fabric, leading workstreams, coaching engineers, and ensuring secure, reliable data for analytics and AI.
Responsibilities
Design, build and run data pipelines using Fabric Data Factory and Fabric Lakehouse
Own ingestion of data from core systems such as Workday, Dynamics 365, Business World and SharePoint
Design data structures in Fabric Warehouse and Lakehouse and deliver curated datasets for Power BI and other reporting
Build security, data classification and access controls into pipelines and review others' work
Redesign legacy ETL and ELT processes for Fabric and plan cut-over
Garant de la conformité technique des solutions d’IA générative et des plateformes agentiques, accompagnant les équipes opérationnelles dans la réalisation et l’exploitation de solutions.
Responsibilities
Conduire les études R&D et réaliser des PoC.
Éprouver les choix d’architecture ou lever un risque (ex: triage d’alertes SOC, l’enrichissement CTI ou les accès des agents à leurs outils).
Contribuer à la réalisation et apporter de l’expertise sur les solutions de solutions techniques IA.
Accompagner et former les équipes opérationnelles dans la mise en œuvre des solutions d’IA.
Animer les revues et arbitrer les choix techniques.
Requirements
Nice to have: Connaissance du SOC (SIEM, SOAR, CTI)
Design, govern, and scale Agentic AI solutions that drive measurable productivity improvements across HR, Finance, Sales, Services, and Employee Experience functions.
Responsibilities
Define the enterprise architecture for Agentic AI platforms
Design scalable architectures for multi‑agent systems
Establish reference architectures, patterns, and guardrails for AI productivity use cases
Align AI architecture with enterprise IT, data, security, and cloud strategies
Lead AI solution design for enterprise productivity across HR, Finance, Sales, Services and Employee Experience
Requirements
Nice to have: AI productivity transformations at enterprise scale
Lead the evaluation, industrialisation, and lifecycle of engineering and AI developer tools across Pfizer’s eight platforms, ensuring a stable core estate and driving adoption through a governed intake process.
Compensation
The annual base salary for this position ranges from $162,900.00 to $271,500.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Own and run the governed tool‑intake and evaluation lifecycle end‑to‑end
Define and evolve the evaluation framework and criteria
Industrialise successful pilots into the supported core estate
Maintain a live portfolio‑level view of all tools in flight
Translate usage, cost, and license telemetry into evidence‑led retirement decisions
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field
Nice to have: Experience in a large, regulated enterprise environment (pharmaceutical, healthcare, financial services, aerospace)
Nice to have: Portfolio‑management or tool‑rationalisation
Nice to have: Model Context Protocol (MCP) or similar AI‑tooling integration standards
Nice to have: Community‑of‑practice guild experience
Develop and integrate high-performance system software for Cisco IOS XE platforms, including enterprise switching, routing, wireless, and IIoT products.
Responsibilities
Design, develop, and test robust, scalable software components and features
Design and develop control plane and data plane software for Cisco IOS XE products
Analyze requirements and develop effective software designs
Write clean, maintainable code and unit tests
Code, debug, test, and troubleshoot software throughout the development lifecycle
Requirements
Bachelor’s degree in Computer Science or related field
Design, build, and maintain an AI agent platform and related infrastructure, support DevOps operations, and enable engineering teams to adopt AI technologies.
Responsibilities
Design, build, and maintain our AI agent platform, including multi-agent orchestration, tool integrations, context management, and agent execution.
Develop robust evaluation and testing frameworks for AI agents, including automated evals, regression testing, and quality monitoring.
Build observability for AI systems, covering execution tracing, reliability, latency, performance, and cost optimization.
Implement security and governance for agentic systems, including access controls, human-in-the-loop approvals, audit logging, and safe execution.
Build and maintain the infrastructure required to deploy, scale, and operate AI applications in production.
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