Solvd, Inc.

Artificial Intelligence

• Identify and assess high-value AI use cases across business functions
• Conduct discovery sessions and workshops with stakeholders to understand pain points
• Develop AI transformation roadmaps aligned with business goals
• Translate business problems into AI-enabled solution approaches
• Shape implementation approaches for AI solutions
• Serve as a strategic advisor on AI opportunities

AI Strategy – Transformation Consultant

Full-stack Engineer

• Build and maintain iOS features using SwiftUI and Swift, delivering reliable, high-quality user experiences
• Contribute to and support existing iOS codebases that include Objective-C and Swift within an Agile environment
• Integrate with RESTful APIs and partner with backend teams to define and improve contracts as needed
• Write testable code and implement unit tests to maintain quality and prevent regressions
• Work with multithreading/concurrency patterns to ensure performance and responsiveness
• Collaborate via Git in a team environment, participate in code reviews, and uphold engineering standards
• Work with relational data and persistence layers as needed
• Support and improve CI/CD workflows to keep releases stable and predictable
• Mentor junior developers through pairing, feedback, and guidance on best practices
• Contribute to a team culture grounded in kindness, empathy, and clear communication

Senior Software Engineer, iOS

DevOps Engineer

• The candidate will design, provision, and maintain the cloud infrastructure underpinning the contact center AI platform.
• Responsibilities include CI/CD pipelines, container orchestration, secure API gateways, and observability tooling, all built to meet the security and availability requirements of a regulated banking environment.

Cloud Infrastructure – DevOps Engineer

Systems Engineer

• The candidate will build and maintain the integration layer connecting the contact center AI platform to the bank's internal systems.
• The candidate will design resilient, secure, and scalable integration patterns that meet banking SLA and compliance requirements.
• Support event-driven data flows that feed downstream AI components.

Software Engineer – System Integration Specialist

SDET

• Establish and maintain the test automation strategy for the contact center AI platform.
• Coverage spans API testing, AI/bot flow validation, agent desktop UI testing, and integration regression — ensuring every release meets the bank's quality and compliance standards.
• Integrate automated test suites into CI/CD pipelines and collaborate across all engineering tracks.

Test Automation Engineer

Data Engineer

• The candidate will be responsible for designing and building the data infrastructure and AI/ML capabilities that power the bank's contact center modernization program.
• This includes data pipeline development, data modeling, and contributing to AI-driven features such as intelligent routing, knowledge retrieval, and agent assistance.
• The candidate will work closely with engineering and business teams to ensure data solutions meet the bank's quality, security, and regulatory standards.

Data Scientist, Data Engineer, Data Architect

QA Automation Engineer

• The candidate will design, build, and optimize automated interaction flows across both the customer-facing and human agent layers of the bank's contact center.
• On the customer side, this includes conversational AI, self-service automation, and intelligent routing.
• On the agent side, the candidate will build real-time AI copilot capabilities - surfacing recommendations, knowledge base answers, and automated post-interaction workflows.
• The candidate will collaborate with business and compliance stakeholders to ensure all solutions meet regulatory requirements.

Contact Center Automation Engineer

Project Manager

• Collaborate with Sales, Tech, and Domain experts to co-design solution strategies, define delivery scope and models, and lead effort estimation. Drive proposal development and client engagement to ensure all presales commitments are viable, value-driven, and seamlessly transitioned into delivery.
• Lead the complete lifecycle of fixed-price projects - from scoping, estimation, and contracting to delivery, deployment, and warranty phases.
• Oversee Solvd’s AI and non-AI build initiatives, including enterprise software, data platforms, automation systems, and AI-powered products.
• Drive successful delivery of highly complex bespoke systems and other large-scale, integrated enterprise applications.
• Act as a trusted partner to clients, aligning technology solutions with business goals and helping shape long-term roadmaps.
• Manage distributed teams across LATAM and Eastern Europe, ensuring alignment, communication, and consistent execution of quality.
• Understand architecture, data models, cloud services, and integration layers to engage meaningfully with engineering and solution leads.
• Apply modern pod or squad structures to promote ownership, agility, and outcome-driven collaboration.
• Partner with Solvd’s AI engineering and research teams on projects involving machine learning, computer vision, and intelligent automation.
• Maintain ownership of project P&L, delivery margins, and risk mitigation strategies across multiple parallel initiatives.
• Establish delivery governance frameworks, track KPIs, and ensure consistent quality across client engagements.

Senior Project Manager

Account Executive

• Develop and close new enterprise opportunities across AI, data platforms, and digital engineering transformation initiatives
• Own the full enterprise sales cycle from prospecting through deal close
• Build and maintain a qualified enterprise pipeline through proactive prospecting
• Develop relationships with senior technology leaders within target accounts
• Drive opportunities through proposal development, negotiation, and close

Account Executive – AI, Digital Engineering, Data Transformation

• Develop and close new enterprise opportunities across AI, data platforms, and digital engineering transformation initiatives
• Own the full enterprise sales cycle from prospecting through deal close
• Focus on new logo acquisition and strategic enterprise accounts
• Engage CIOs, CTOs, CDOs, and senior technology leaders
• Build and maintain a qualified enterprise pipeline through proactive prospecting
• Develop relationships with senior technology leaders within target accounts
• Lead discovery conversations to identify transformation opportunities
• Drive opportunities through proposal development, negotiation, and close

Account Executive – AI, Retail, Finance, Technology

• Own end-to-end increments from scope through build, demo, and handoff
• Work across the stack. Frontend, backend, LLM integrations, whatever the problem needs
• Use coding agents and agentic engineering workflows to move fast
• Partner with Pre-sales, GTM, and product discovery teams to understand client problems and constraints
• Make scope tradeoffs that balance speed with learning
• Spot patterns across projects and flag opportunities for reuse
• Contribute to tooling and workflows that help the team ship faster over time
• Document what you build so it can be handed off or extended

AI Product Engineer

• Own and evolve the team's internal tooling
• Ship client increments alongside the team when not focused on tooling work
• Design and improve agentic engineering workflows
• Enable the team to adopt new tools and workflows
• Partner with Pre-sales, GTM, and product discovery teams
• Identify bottlenecks and automation opportunities
• Document tooling and workflows for easy adoption

AI Product Engineer – Tooling

• Own the design and front-end implementation of increments from concept through build and demo.
• Build in code. HTML, CSS, React, whatever gets it shipped.
• Use coding agents and agentic engineering workflows to move fast.
• Partner with Pre-sales, GTM, and product discovery teams to understand client problems and constraints.
• Make design tradeoffs that balance polish with speed.
• Define and evolve AI UX patterns that the team can reuse across projects.
• Spot interaction patterns that work (and don't) and document them for the team.
• Ensure increments are coherent and usable, not just functional.

AI Product Engineer, Design

AI Product Engineer – Design

• Partner with Pre-sales, GTM, and product discovery teams to define the right problem, success criteria, and constraints.
• Break ambiguous client needs into focused increments deliverable in days, each with a clear hypothesis to test.
• Deliver end-to-end increments by combining your own work, team delegation, and coding agents working in parallel.
• Own final quality. Agents accelerate the work, but you're accountable for what ships.
• Evolve our tooling and workflows so the team ships faster each month.
• Spot patterns across client work and turn them into reusable building blocks.
• Define handoff standards when increments mature into v1 products or move to delivery teams.
• Mentor builders toward high ownership, pragmatic shipping, and continuous reuse.
• Create a culture where speed comes from better systems, not longer hours.