Aimpoint Digital

Security Engineer

• Design and implement security solutions to enable customers to securely deploy and govern Claude Enterprise
• Assess existing security, identity, data, cloud and SaaS architectures and advise on best-in-class solutions for securing enterprise AI tooling across customers in a wide range of industries
• Conduct comprehensive evaluations of AI tools (e.g. Claude, Claude Enterprise), platform configurations, data access patterns, connector usage, security controls, processes and personnel to deliver informed recommendations leveraging your expertise in security engineering and AI governance
• Design and implement security controls for enterprise AI platforms, including SSO, SCIM, RBAC, MFA, conditional access, admin roles, user lifecycle management, retention policies, audit logging, workspace controls, DLP, and acceptable-use enforcement
• Assess and govern AI platform features such as file uploads, custom assistants, projects, GPTs, connectors, browsing, code execution, data analysis, plugins, agents, API access, and external sharing
• Review and secure AI integrations with enterprise repositories and collaboration platforms, including Google Drive, SharePoint, OneDrive, Slack, Teams, GitHub, GitLab, Jira, Confluence, Salesforce, Snowflake, Databricks, and BI platforms
• Manage and lead end-to-end AI Security Implementation efforts as part of a project team; including activities such as identity integration, access control design, data protection controls, AI platform configurations, connector governance, monitoring / logging and incident response workflows

Lead AI Security Architect

Solutions Engineer

• Engage in multi-disciplinary teams to deliver complex AI, Engineering and Data & Analytics cases
• Serve as a Databricks subject matter expert for our internal community
• Provide technical leadership and hands-on delivery
• Contribute to the growth of our partnership with Databricks
• Create and deliver engaging technical and thought leadership content
• Build and deliver end-to-end technical tool demonstrations
• Support channel and sales activities to provide architecture advisory

Databricks Solutions Architect

Project Manager

• Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives
• Manage a diverse set of projects extending across multiple disciplines
• Serve as the primary client-facing lead for project planning, delivery, risk management, and communication
• Own project governance, including status reporting, issue/risk escalation, and stakeholder engagement

Senior Project Manager

AI Engineer

• Work directly with business and technical stakeholders to identify high-value AI use cases and translate business problems into executable technical solutions.
• Design and build enterprise-grade Claude enabled applications, agentic workflows, workflow copilots, knowledge assistants, and decision-support systems.
• Help enterprise clients rationalize Claude licensing types, evaluate usage models, and design an overall licensing strategy aligned to adoption, governance, cost management, and business value.
• Lead discovery sessions that map business processes, identify automation opportunities, assess human-in-the-loop requirements, and define measurable business outcomes.
• Develop AI solution architectures that integrate Claude with enterprise systems, data platforms, APIs, vector databases, orchestration layers, and approval workflows.
• Design and implement retrieval-augmented generation systems, tool-using agents, evaluation harnesses, prompt and context strategies, memory patterns, and guardrail frameworks.
• Build prototypes quickly, then harden successful solutions into production-ready systems with proper observability, reliability, security, access control, and governance.
• Partner with client executives, product owners, technical teams, legal, compliance, and security stakeholders to align AI solutions with enterprise risk requirements.
• Develop reusable solution patterns, accelerators, technical demos, reference architectures, and thought leadership that strengthen Aimpoint Digital’s Anthropic practice.
• Help clients define their AI operating model, including governance, model evaluation, adoption workflows, business ownership, and ongoing performance measurement.
• Serve as a trusted advisor and hands-on builder for organizations adopting Claude across mission-critical workflows.

Forward Deployed AI Engineer

Artificial Intelligence

• Act as a trusted advisor to clients, partnering with business and technology leaders
• Help clients determine where AI should be applied and define strategy
• Lead engagements focused on AI opportunity assessment, strategy development, governance design
• Assess current-state AI maturity and identify high-value use cases
• Translate business needs into actionable AI strategies and roadmaps
• Drive the development of go-to-market AI strategy offerings

AI Strategist

Engineer

• Work directly with business and technical stakeholders to identify high-value data and AI use cases that can be delivered on Databricks
• Design, build, and deploy production-grade data and AI solutions using Databricks capabilities across the Lakehouse, Mosaic AI, Unity Catalog, Databricks SQL, Workflows, Delta Lake, Databricks Apps, Genie, Agents, and Lakebase
• Lead client discovery sessions to understand business workflows, data availability, platform maturity, integration needs, and measurable success criteria
• Architect AI-native data platforms that support agentic workflows, semantic analytics, model deployment, retrieval systems, optimization models, and operational applications
• Build Genie rooms, semantic layers using Metric Views, decision-support applications, data products, AI applications, and agent memory architectures that help clients operationalize insight and action
• Partner with data engineering, AI engineering, analytics, business, security, and governance stakeholders to design secure, scalable, production-ready solutions
• Create prototypes, demos, technical reference architectures, and reusable accelerators that showcase the value of Databricks for enterprise AI and analytics workloads
• Help clients modernize data pipelines, improve platform architecture, implement governance patterns, and deploy AI systems into operational workflows
• Work with Aimpoint Digital’s alliance, sales, and delivery teams to shape Databricks-led opportunities and translate client needs into winning solution approaches
• Develop thought leadership, solution accelerators, demos, and internal enablement materials that strengthen Aimpoint Digital’s Databricks practice

Lead Forward Deployed Engineer, Databricks

• Act as a trusted advisor to clients—partnering with business and technology leaders to shape and execute their AI transformation agendas
• Help clients determine where AI should (and should not) be applied, and define the strategic, operational, and economic rationale for AI investments
• Lead engagements focused on AI opportunity assessment, AI strategy development, governance design, AI solution definition and business case development
• Assess current-state AI maturity, identify high-value use cases, re-imagine business processes and translate business needs into actionable AI strategies and roadmaps
• Work closely with cross-functional teams to ensure strategies are practical, scalable, and aligned to measurable business value
• Own the delivery of client engagements end-to-end
• Drive the development of our go-to-market AI strategy offerings, support business development, shape proposals, and develop reusable methodologies and frameworks
• Mentor team members and drive the growth of the Strategy practice

AI Strategy Manager

Program Manager

• Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives
• Drive multi-workstream programs delivering enterprise data and AI platforms and measurable business outcomes
• Serve as the primary client-facing lead for project planning, delivery, risk management, and communication
• Own program governance, including consolidated status reporting, issue/risk escalation, and stakeholder engagement

• Lead large, complex Analytics and AI strategy engagements for key clients, including multi-workstream initiatives spanning enterprise strategy, operating model design, governance, roadmap development, and value realization
• Serve as a senior trusted advisor to executive stakeholders on enterprise Analytics and AI priorities, investments, transformation approaches, governance, and organizational adoption to grow strategic accounts
• Guide clients through structured assessments of current-state analytics and AI maturity across people, process, technology, governance, and readiness for scale
• Lead executive workshops, briefings, and stakeholder alignment sessions that drive decision-making, clarity, and buy-in across complex client organizations
• Oversee the development of strategy deliverables, including roadmaps, operating models, governance structures, business cases, use-case prioritization frameworks, and transformation plans
• Partner with decision science, engineering, and platform teams to ensure strategy recommendations are aligned to enterprise realities, delivery constraints, and long-term client objectives
• Lead business development initiatives including proposals, solution shaping, strategic client pursuits, offering development, and go-to-market efforts that support practice growth
• Coach and develop consultants, engagement managers, and other team members by providing leadership, feedback, and example in client service, strategic thinking, and executive communication
• Develop new solutions/offerings, market-facing points of view, and intellectual property related to Data Strategy, AI Strategy, and enterprise transformation

Director of AI Strategy

• Lead large, complex Analytics and AI strategy engagements
• Serve as a senior trusted advisor to executive stakeholders
• Guide clients through structured assessments of current-state analytics and AI maturity
• Lead executive workshops, briefings, and stakeholder alignment sessions
• Oversee the development of strategy deliverables
• Coach and develop consultants, engagement managers, and other team members

Director of AI Strategy and Analytics

• Lead large, complex Analytics and AI strategy engagements for key clients, including multi-workstream initiatives spanning enterprise strategy, operating model design, governance, roadmap development, and value realization
• Serve as a senior trusted advisor to executive stakeholders on enterprise Analytics and AI priorities, investments, transformation approaches, governance, and organizational adoption to grow strategic accounts
• Guide clients through structured assessments of current-state analytics and AI maturity across people, process, technology, governance, and readiness for scale
• Lead executive workshops, briefings, and stakeholder alignment sessions that drive decision-making, clarity, and buy-in across complex client organizations
• Oversee the development of strategy deliverables, including roadmaps, operating models, governance structures, business cases, use-case prioritization frameworks, and transformation plans
• Partner with decision science, engineering, and platform teams to ensure strategy recommendations are aligned to enterprise realities, delivery constraints, and long-term client objectives
• Lead business development initiatives including proposals, solution shaping, strategic client pursuits, offering development, and go-to-market efforts that support practice growth
• Coach and develop consultants, engagement managers, and other team members by providing leadership, feedback, and example in client service, strategic thinking, and executive communication
• Develop new solutions/offerings, market-facing points of view, and intellectual property related to Data Strategy, AI Strategy, and enterprise transformation.

Director of AI Strategy, Analytics

Manager

• Lead client engagements focused on Enterprise Data & AI strategies
• Conduct stakeholder interviews, workshops, and assessments to evaluate current-state analytics and AI maturity
• Develop data monetization strategies
• Identify and define data, analytics, & AI use cases
• Work closely with cross functional teams to define future-state data architectures
• Develop strategy deliverables, including roadmaps, operating models, governance structures
• Support sales and business development by shaping proposals

Analytics Strategy Engagement Manager

Director

• Develop domain-specific thought leadership and originate high-impact AI use cases and solution accelerators (e.g., pricing optimization frameworks, assortment decision engines, inventory positioning models), translating repeatable client needs into scalable offerings and IP
• Provide thought and execution leadership across enterprise Retail and CPG engagements —from problem framing and economic modeling through solution deployment and adoption
• Serve as a trusted advisor to senior stakeholders (Chief Merchants, Chief Digital Officers, Supply Chain leaders), grounding recommendations in retail economics and operational reality
• Work alongside our decision sciences and engineering teams to design and deploy AI-enabled decision systems across merchandising, pricing, supply chain, and customer facing domains
• Drive operationalization of insights from work product development to embed intelligence into workflows, systems, and decision cadences
• Mentor team members and support client relationship growth
• Contribute to business development through solution shaping and thought leadership

Director of Retail and CPG Strategy

Data Engineer

• Become a trusted data and AI advisor to our clients
• Work independently as part of a small team to solve complex data engineering use-cases
• Design and implement AI-optimized data platforms
• Build and evolve semantic and analytical layers that power various tools
• Use modern platforms and tooling to deliver scalable solutions
• Engineer modern ELT/ETL pipelines
• Design modern data models
• Write production-ready code in SQL, Python, and Spark
• Apply AI-assisted data engineering techniques
• Contribute to the evolution of our AI-forward data engineering and infrastructure practice
• Collaborate with analytics, data science, and ML project teams