Nexxa.ai

• Decompose customer requirements from workshops and discovery into structured product requirements, system architecture, and technical specifications • Design end-to-end solution architecture for each customer challenge, scope into a milestone driven project plan, mapped to product roadmap • Map customer requirements to product capabilities — identifying what's reusable, what's custom, and what should become platform features • Create technical scoping documents with effort estimates, dependencies, risks, and milestone definitions for every engagement • Coordinate with engineers (Applied AI and Core engg.) to ensure architecture-driven execution • Participate in customer workshops and technical deep-dives, serving as the technical authority on what's feasible, what's optimal, and what the trade-offs are • Define integration architecture for enterprise systems: legacy ERPs, CRMs, MES, PLMs and IoT platforms • Establish reusable architecture patterns and reference implementations that accelerate future customer deployments • Own the technical proposal and SOW inputs — ensuring commercial commitments are technically grounded

• Manage end-to-end project schedules for customer engagements across Applied AI (FDE team) and core engineering teams spanning multiple geographies and time zones • Maintain real-time project status visibility — Confluence boards, Jira tracking, weekly status reports — so leadership, engineering, and the Delivery Manager always have a single source of truth • Run internal project review cadences: bi-weekly planning reviews, customer submissions reviews, and dev question sessions across all active engagements • Proactively identify risks, dependencies, and blockers before they become surprises — escalate to the Delivery Manager with proposed mitigations, not after deadlines slip • Own cross-site coordination across multiple sites — bridging time zones, aligning handoffs, and ensuring nothing falls between teams • Drive daily and weekly status updates across all active projects — post EOD updates in team channels with key changes, blockers, and next actions tagged to DRIs • Prepare and deliver weekly internal status reports to the CPO every Friday — consolidating project health, risk register, and upcoming milestones across all accounts • Track and maintain delivery governance artifacts: project plans, feedback/release trackers, QA checklists, go-live readiness assessments • Coordinate resource allocation and capacity planning across FDEs and engineering — flag overload risks and propose reallocation before quality suffers • Ensure Jira hygiene: correct assignees, updated due dates, closed tickets, and clean backlogs — so automated reporting and AI tools produce accurate outputs • Support the Delivery Manager in preparing customer-facing materials: milestone review decks, progress summaries, and QBR data

• Engage directly with enterprise and strategic customers to understand their workflows, data, and technical requirements. • Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources. • Lead full project lifecycles: scoping, solution design, development, implementation, testing, deployment, and iteration. • Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation. • Build reliable, scalable software integrations using APIs, cloud services, and containerized systems. • Troubleshoot complex technical issues across the stack—applications, models, data pipelines, infrastructure, and integrations. • Act as the customer’s trusted technical advisor, enabling adoption of new product capabilities and AI features. • Partner closely with internal product and engineering teams to communicate customer feedback and shape roadmap direction. • Produce high-quality documentation, architecture diagrams, runbooks, and technical assets for customer teams. • Mentor junior engineers and contribute to internal best practices for FDE delivery.

• Engage directly with enterprise and strategic customers to understand their workflows, data, and technical requirements. • Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources. • Lead full project lifecycles: scoping, solution design, development, implementation, testing, deployment, and iteration. • Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation. • Build reliable, scalable software integrations using APIs, cloud services, and containerized systems. • Troubleshoot complex technical issues across the stack—applications, models, data pipelines, infrastructure, and integrations. • Act as the customer’s trusted technical advisor, enabling adoption of new product capabilities and AI features. • Partner closely with internal product and engineering teams to communicate customer feedback and shape roadmap direction. • Produce high-quality documentation, architecture diagrams, runbooks, and technical assets for customer teams. • Mentor junior engineers and contribute to internal best practices for FDE delivery.

• Engage directly with enterprise and strategic customers to understand their workflows, data, and technical requirements. • Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources. • Lead full project lifecycles: scoping, solution design, development, implementation, testing, deployment, and iteration. • Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation. • Build reliable, scalable software integrations using APIs, cloud services, and containerized systems. • Troubleshoot complex technical issues across the stack—applications, models, data pipelines, infrastructure, and integrations. • Act as the customer’s trusted technical advisor, enabling adoption of new product capabilities and AI features. • Partner closely with internal product and engineering teams to communicate customer feedback and shape roadmap direction. • Produce high-quality documentation, architecture diagrams, runbooks, and technical assets for customer teams. • Mentor junior engineers and contribute to internal best practices for FDE delivery.