Solvd, Inc.

Full-stack Engineer

• Lead IT security architecture, strategy, and implementation across endpoints, identity, and applications.
• Oversee end-user computing: device management, onboarding/offboarding, patching, and MDM policies (macOS + Windows).
• Manage internal applications security and configuration (Netsuite, Salesforce, Rippling, Office365).
• Ensure SOC2, HIPAA, GDPR, PCI, and SOX compliance across IT operations.
• Oversee HelpDesk processes, secure incident handling, and ITSM workflows.
• Implement and manage Zero Trust access, DLP policies, laptop backups, and SSO enforcement.
• Maintain secure credential and secrets management processes.
• Partner with Security, Engineering, Compliance, and PeopleOps teams on audits, improvements, and governance.

IT Engineer

Artificial Intelligence

• Drive and own the AI solutions offering portfolio (GenAI, LLM-based, Agentic AI) from ideation through market launch, enabling growth and differentiation.
• Collaborate with GTM teams (sales, marketing, partners) to craft solution value propositions, build climb-charts, influence pipeline, support POCs and convert opportunities into engagements.
• Lead key sales pursuits: lead solutioning workshops, presale processes, shape deal architecture, run technical-commercial demos and help define scope, pricing, and delivery model to maximise win-rate.
• Ensure delivery readiness: in partnership with technology leaders validate that proposed AI engagements are feasible, scoped appropriately, resource-aligned, and have acceptable risk/margin before hand-off to delivery teams.
• Maintain credibility with clients and technology teams: act as thought-leader in GenAI/LLMs/Agentic AI, staying current on ecosystem (models, platforms, guardrails) and present to client executives and internal stakeholders.
• Build and lead a small team of solution architects and pre-sales specialists focused on AI solutions; mentor and grow their capabilities.
• Monitor and report on key metrics: pipeline influenced, proposal-to-win conversion, offering adoption, margin performance, and client satisfaction.

Director of AI Solutions

Solutions Engineer

• Define and evolve cloud and data architecture principles, reference models, and roadmaps.
• Shape offerings and go-to-market strategies in partnership with executive leadership.
• Evaluate and integrate emerging technologies (e.g., AI/ML, serverless, streaming, observability).
• Build and scale a global team of solution and domain and solution architects.
• Establish architecture guardrails, reusable patterns, and best practices.
• Drive architectural governance, security, compliance, and operational excellence.
• Partner with sales and business development to design solutions, respond to RFPs, and lead client workshops.
• Serve as a trusted technical advisor to client executives and technical teams.
• Influence win rates through compelling solutioning and thought leadership.
• Ensure solutions are implemented with fidelity to architectural designs.
• Provide oversight on high-complexity or high-risk programs.
• Guide cross-functional teams in cloud engineering, SRE/DevOps, data platforms, and security.
• Mentor and grow senior technical leaders and architects.
• Drive knowledge sharing, communities of practice, and reusable accelerators.
• Foster a culture of innovation, excellence, and accountability.

Director, Cloud Solution Architecture

Product Specialist

• Collaborate with clients to identify high-value AI opportunities and define clear business outcomes.
• Translate client needs into AI-enabled solution concepts, user journeys and measurable success metrics.
• Partner with solution architects and delivery leads to shape proposals, MVP scopes and implementation approaches.
• Lead or support discovery and ideation workshops, connecting business challenges to practical AI applications.
• Support presales efforts with ROI models, benefit hypotheses and value-based narratives.
• Stay current with GenAI trends and adoption models to advise clients on emerging opportunities.
• Contribute to reusable assets such as case studies, pitch decks and use case catalogs to accelerate future pursuits.

AI Product Consultant

DevOps Engineer

• Work primarily on updating, maintaining, and enhancing existing backend code (C#).
• Fix bugs, refactor legacy components, and improve performance in existing services.
• Implement best practices for code quality, testing, and maintainability.
• Contribute to database operations by writing and optimizing SQL queries.
• Work on DevOps to support CI/CD processes and infrastructure (approx. 10% of the role).
• Assist with migration and optimization of deployment pipelines when needed.
• Ensure security and reliability in code updates and occasional infrastructure changes.

Software Engineer, DevOps Exposure

Platform Engineer

• Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.
• Build and manage scalable data pipelines to ingest, transform, and serve data for ML and analytics.
• Develop infrastructure-as-code using tools like Cloudformation, AWS CDK to ensure repeatable and secure deployments.
• Collaborate with AI engineers, data engineers, and platform teams to improve the performance, reliability, and cost-efficiency of AI models in production.
• Drive best practices for observability, including monitoring, alerting, and logging for AI platforms.
• Contribute to the design and evolution of our AI platform to support new ML frameworks, workflows, and data types.
• Stay current with new tools and technologies to recommend improvements to architecture and operations.
• Integrate AI models and large language models (LLMs) into production systems to enable use cases using architectures like retrieval-augmented generation (RAG).

Senior Software Platform Engineer

Data Scientist

• Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking.
• Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions.
• Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences.
• Contribute to analytical planning and ensure alignment with overall business objectives.
• Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value.
• Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives.

Senior Data Scientist

• Design, implement, and maintain Fastly VCL (Varnish Configuration Language) configurations to optimize caching, routing, and edge logic for ecommerce traffic.
• Monitor and troubleshoot edge performance, latency, and security events, especially during high-volume sales periods (e.g., Black Friday, product launches).
• Integrate Fastly and Signal Sciences with observability platforms such as Datadog for real-time alerting, dashboards, and performance analytics.
• Maintain version control and CI/CD pipelines (GitHub Actions) for VCL deployments, ensuring safe and rapid iteration.

Senior DevOps Engineer

Backend Engineer

• Lead a team of backend/full-stack engineers, ensuring high-quality delivery and predictable execution.
• Collaborate with the Solution Architect to align implementation with architectural standards and long-term goals.
• Own engineering execution: task breakdown, backlog refinement, technical planning, and development workflows.
• Mentor developers through code reviews, pair programming, and technical guidance.
• Partner with Product, Actuaries/SMEs, and UI teams to clarify requirements and define data/API contracts.
• Design and build backend services with Node.js (NestJS).
• Implement secure, scalable REST APIs and services for complex calculation workflows.
• Integrate PostgreSQL calculation logic into backend services with clean orchestration, data validation, and error handling.
• Use MongoDB where document-oriented storage is beneficial.
• Conduct execution plan analysis, query tuning, and partitioning for large insurance datasets.
• Ensure deterministic, traceable, and versioned business logic.
• Support UI integration and occasionally contribute to React + TypeScript front-end components.
• Implement automated tests (backend + DB logic), enforce code quality, and uphold CI/CD standards.
• Improve logging, monitoring, metrics, and alerting to ensure production readiness and transparency.
• Participate in production support, root cause analysis, and continuous improvement.

Tech Lead – Backend, Node.js, PostgreSQL, MongoDB

• Develop Python wrappers around insurance reserving models and register them as MLflow Projects on Databricks.
• Implement data-validation and metadata-tracking logic against the Data Contract Registry (PostgreSQL).
• Collaborate with actuaries to translate reserving logic into reproducible, parameterized Python workflows.
• Contribute to CI/CD for model deployment and lifecycle management in Databricks.
• Ensure transparency, auditability, and reproducibility of all model runs.
• Cooperate with Node.js (NestJS) and React engineers on orchestration and UI integration.

IT Engineer

Director of AI Solutions

Director, Cloud Solution Architecture

AI Product Consultant

Software Engineer, DevOps Exposure

Senior Software Platform Engineer

Senior Data Scientist

Senior Data Scientist

Senior DevOps Engineer

Tech Lead – Backend, Node.js, PostgreSQL, MongoDB

Senior Python Backend Developer, MLFlow