Livefront

• Own the evolution and growth of Livefront’s AI & Automation service line, including: AI Strategy & Readiness, Agentic Software Engineering, Enterprise Agents & Workflow Automation, AI Platforms & Context Services Engineering, AI Product Development, and AI Training & Enablement. • Own the full portfolio of AI workstreams across the company, ensuring alignment, prioritization, and execution across internal enablement, platform/IP development, client delivery, and market positioning. • Define what “excellent” looks like for AI delivery at Livefront: playbooks, reference architectures, evaluation approaches, governance, security posture, and operational standards. • Recruit, mentor, and develop a team of AI leaders and practitioners; establish career pathways and raise the technical bar across the organization. • Help Livefront evolve all service lines (Digital Strategy & Product, Data & Analytics, Experience Design, Software Engineering, Data & Analytics) to better leverage AI. • Track the market direction of AI—platforms, models, tooling, regulations, and emerging patterns—and translate that into clear, differentiated offerings clients can buy. • Partner with Livefront leadership to mature our go-to-market approach for AI services: positioning, packaging, sales enablement, pursuit strategy, and thought leadership. • Build and manage strategic partnerships across AI frontier labs (e.g., OpenAI, Anthropic), data platforms (e.g., Databricks, Snowflake), and cloud providers (e.g., AWS, Microsoft).

• Craft compelling product visions that inspire and guide our clients. • Formulate detailed product strategies that are aligned with business objectives • Execute market and user research initiatives • Conduct competitive or peer analyses • Collaborate closely with business development on new pursuits • Incorporate AI into the discovery process • Identify opportunities within the client ecosystem • Inform strategic decisions with insights on user behavior • Lead co-creation sessions with cross-functional teams • Effectively lead client teams through product development • Facilitate collaborative discussions for alignment on features

• Estimate, develop, test, and deploy high-quality Android applications • Write clean, maintainable, secure, and efficient code in Kotlin • Use Android Studio for debugging and optimizing application performance • Write unit and UI tests • Implement accessible features to meet WCAG guidelines • Troubleshoot and resolve bugs and performance issues • Work on technically ambitious projects • Collaborate closely with UI/UX designers • Participate in community events and contribute to engineering community

• Help develop and execute on product strategy, ensuring alignment with client goals and objectives. Regularly reassess and adapt strategy in response to evolving business needs and technological advancements. • Manage the complete product lifecycle from ideation to launch, incorporating user research, stakeholder perspective, and product usage analysis to inform direction. • Own execution and delivery efforts, including product releases, managing requirements, writing development tasks, and managing both internal and public product releases. • Develop measurement approaches to evaluate product effectiveness and impact. • Define and execute product experiments (A/B testing) to drive incremental product growth and engagement. • Collaborate with product designers to discover and bring definition to new product opportunities, serving as a thought partner through the design process. • Collaborate closely with senior stakeholders and cross-functional teams to define and prioritize product features based on desirability, viability, and feasibility. • Drive product innovation by identifying new opportunities and championing the development of new experiences that enhance user engagement and drive business results. • Lead cross-functional teams in an agile environment, effectively managing product backlogs, sprint planning, and iterative development cycles. • Utilize data-driven decision-making to evaluate product performance, identify areas for improvement, and inform future development priorities. • Engage with key clients and stakeholders, building strong relationships and effectively communicating product vision, progress, and impact. • Conduct competitive analysis to stay ahead of industry trends and ensure our clients’ products remain market leaders. • Foster a culture of continuous improvement, encouraging innovation, efficiency, and collaboration within the product team and across Livefront. • Fosters a culture of energy, collaboration, and curiosity that brings product teams to life and makes working with Livefront enjoyable.

• Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations, and CI/CD deployment via Declarative Automation Bundles. • Architect and implement Lakehouse solutions on Databricks — medallion architecture, Delta Lake, Unity Catalog — tailored to the client's analytics, AI, and application needs. • Build and maintain Databricks transformation layers — DLT pipelines, PySpark notebooks, and dbt — with data quality constraints and SLAs baked in. • Design and maintain the data and AI foundations — Unity Catalog, Feature Store, MLflow, and Model Serving — that power production ML, agent workflows, and AI-enabled digital products. • Collaborate with product and backend engineers to design data models, APIs, and application data contracts — ensuring the platform serves the product, not just the warehouse. • Consult with clients to understand their data challenges, develop data strategies, and implement sustainable solutions. • Adapt your approach based on project needs — sometimes leading data architecture discussions with clients, other times supporting internal teams with specialized data expertise. • Work within multi-cloud environments — primarily AWS and Azure — anchoring data platform recommendations around Databricks where it fits the client's architecture and goals. • Champion data governance through Unity Catalog — access control, lineage, data quality policies, and compliance — as a first-class part of every engagement, not an afterthought. • Design data-to-application architectures — including Lakebase-backed services and Databricks Apps — that connect governed data to AI workflows, digital products, and user-facing experiences. • Help build Livefront's Databricks practice — contributing to accelerators, internal enablement, certification goals, and Databricks partner go-to-market materials alongside delivery work.

• Work closely with clients to understand their business goals around implementing AI technologies, present sustainable and achievable technical solutions, and adjust strategies based on feedback. • Guide and mentor engineering teams with your AI expertise, both internally to Livefront and externally with the client, by setting technical standards, conducting code reviews, and contributing to product vision. • Engage in technical spikes to explore new technologies and methods. • Lead the design of robust architectures tailored to client needs and implement these solutions hands-on, ensuring scalability and maintainability. • Design, develop, and integrate APIs, data pipelines, and end-to-end infrastructure that ensure seamless communication between systems. Help optimize performance and enable AI models to be useful, scalable, and maintainable. • Adapt your skills across diverse projects, including API design, real-time technical support, and DevOps, demonstrating versatility and responsiveness to varied client needs. • Collaborate cross-functionally, streamlining communication between backend teams, frontend teams, designers, and other team members.

• Work closely with clients to understand their business goals around implementing AI technologies, present sustainable and achievable technical solutions, and adjust strategies based on feedback. • Guide and mentor engineering teams with your AI expertise, both internally to Livefront and externally with the client, by setting technical standards, conducting code reviews, and contributing to product vision. • Engage in technical spikes to explore new technologies and methods. • Lead the design of robust architectures tailored to client needs and implement these solutions hands-on, ensuring scalability and maintainability. • Design, develop, and integrate APIs, data pipelines, and end-to-end infrastructure that ensure seamless communication between systems. Help optimize performance and enable AI models to be useful, scalable, and maintainable. • Adapt your skills across diverse projects, including API design, real-time technical support, and DevOps, demonstrating versatility and responsiveness to varied client needs. • Collaborate cross-functionally, streamlining communication between backend teams, frontend teams, designers, and other team members.

• Work closely with clients to understand their business goals around implementing AI technologies, present sustainable and achievable technical solutions, and adjust strategies based on feedback. • Guide and mentor engineering teams with your AI expertise, both internally to Livefront and externally with the client, by setting technical standards, conducting code reviews, and contributing to product vision. • Engage in technical spikes to explore new technologies and methods. • Lead the design of robust architectures tailored to client needs and implement these solutions hands-on, ensuring scalability and maintainability. • Design, develop, and integrate APIs, data pipelines, and end-to-end infrastructure that ensure seamless communication between systems. Help optimize performance and enable AI models to be useful, scalable, and maintainable. • Adapt your skills across diverse projects, including API design, real-time technical support, and DevOps, demonstrating versatility and responsiveness to varied client needs. • Collaborate cross-functionally, streamlining communication between backend teams, frontend teams, designers, and other team members.

• Work closely with clients to understand their business goals around implementing AI technologies, present sustainable and achievable technical solutions, and adjust strategies based on feedback. • Guide and mentor engineering teams with your AI expertise, both internally to Livefront and externally with the client, by setting technical standards, conducting code reviews, and contributing to product vision. • Engage in technical spikes to explore new technologies and methods. • Lead the design of robust architectures tailored to client needs and implement these solutions hands-on, ensuring scalability and maintainability. • Design, develop, and integrate APIs, data pipelines, and end-to-end infrastructure that ensure seamless communication between systems. Help optimize performance and enable AI models to be useful, scalable, and maintainable. • Adapt your skills across diverse projects, including API design, real-time technical support, and DevOps, demonstrating versatility and responsiveness to varied client needs. • Collaborate cross-functionally, streamlining communication between backend teams, frontend teams, designers, and other team members.

• Architecture Design & Implementation: Lead the design of robust architectures tailored to client needs. Implement these solutions hands-on, ensuring scalability and maintainability. • API Design & Integration: Design, develop, and integrate APIs, ensuring seamless communication between systems and enhancing overall performance. • Technical Leadership: Guide and mentor engineering teams, conduct code reviews, and set technical standards. Engage in technical spikes to explore new technologies and methods. • Client Interaction: Work closely with clients to understand their business goals, present technical solutions, and adjust strategies based on feedback. • DevOps & Release Management: Design, set up, and maintain CI/CD pipelines. Manage deployment processes to ensure smooth, reliable releases. • Problem-Solving & Troubleshooting: Address technical issues promptly and resolve them, ensuring minimal disruption to project timelines. • Adaptability: Engage in diverse projects, from API design to live team support to full-time DevOps, adapting your skills to meet varied client needs.