Solution Architect

Job Profile:

Digit88 is seeking a Solution Architect to act as the design authority for enterprise customer

implementations. You will translate business objectives into scalable solution designs and provide technical

governance from discovery through go-live.

In this role you will shape the technical approach, resolve cross-system decisions and ensure that customer

requirements can be delivered without compromising platform integrity. The role is customer-facing,

pragmatic and accountable for technical readiness rather than slideware alone.

This role sits at the heart of our Conversational AI practice. Our customers are consumer-facing brands

running contact center and digital engagement at scale, and they will look to you as the subject-matter

expert on how Conversational AI is designed, integrated and operated in production.

Responsibilities:

● Lead technical discovery and convert business outcomes into architecture, integration and non

functional requirements.

● Act as the customer-facing subject-matter expert on Conversational AI and CCaaS, building

credibility with customer stakeholders from day one.

● Architect Conversational AI solutions across voice, messaging and digital channels using

ElevenLabs, OpenAI and Strands.

● Design multimodal and multithreaded interaction flows that hold up on latency, concurrency and

state management at production scale.

● Define solution boundaries, data flows, security patterns, environments and integration

approaches.

● Define integration patterns between Java/Spring Boot backend services and Python-based

AI/MLOps modules on AWS.

● Produce architecture diagrams, decision records, interface contracts and implementation

guardrails.

● Review technical designs and criticalchanges;identify risks before they reach testing or production.

● Formulate multi-option solution blueprints that clearly detail trade-offs, implementation complexity

and strategic alignment.

● Guide Customer Engineers and Product Engineers through difficult tradeoffs and escalations.

● Maintain technical governance across concurrent implementations and reusable product patterns.

● Own architecture and technical approval, delegating implementation execution to Customer

Engineers while remaining available for reviews and escalations.

● Partner with Product Engineering on reusable capabilities, without committing roadmap scope

outside product approval.

What success looks like:

● Solutions are technically feasible, scalable, secure and supportable before implementation begins.

● Material design decisions are documented and understood by customer and internal teams.

● Integration and non-functional risks surfaced early, with credible mitigation plans.

● Measured by solution quality, technical readiness, design rework, production stability and

stakeholder confidence.

Requirements:

● Education: Bachelor's degree in Engineering, Computer Science, or a related field.

● Experience: 8+ years in enterprise software delivery, including 3+ years in solution or integration

architecture.

● Proven hands-on experience designing and delivering Conversational AI solutions in production.

● Strong hands-on proficiency in Java and Spring Boot, required for all client-facing and backend

work.

● Strong hands-on proficiency in Python, required for all AI and MLOps work.

● Hands-on experience architecting on AWS with DynamoDB and PostgreSQL; working familiarity

with React-based frontends.

● Experience integrating LLMs (e.g., OpenAI) and Voice AI platforms (e.g., ElevenLabs) into

production systems.

● Experience designing multimodal (voice, text, digital) and multithreaded/concurrent systems.

● Deep experience with APIs, event-driven integration, identity, cloud architecture, data design and

production operations.

● Strong command of security patterns, environment strategy and non-functional requirements

across enterprise deployments.

● Ability to lead customer workshops and explain complex decisions to executives and engineers.

● Track record designing systems that moved successfully from discovery into production.

Good to have:

● Hands-on experience with consumer-facing CCaaS tools (Messaging, Digital AI and/or Voice AI).

This is a huge advantage, as it lets you get hands-on immediately and be seen as an SME by

customers.

● Experience with Strands Agents or similar agentic decision-making frameworks.

● Salesforce, Genesys Cloud or enterprise CX architecture experience.

● AI system design covering retrieval, model evaluation, guardrails, observability and human

escalation.

● Experience in security-sensitive or regulated environments.

Benefits working @ Digit88:

● Comprehensive Insurance (Life, Health, Accident).

● Flexible Work Model.

● Accelerated learning & non-linear growth.

● Flat organization structure driven by ownership and accountability.

● Opportunity to own and be a part of some of the most innovative and promising AI/SaaS product

companies in North America and around the world.

● Accomplished Global Peers- Working with some of the best engineers/professionals globally from

the likes of Apple, Amazon, IBM Research, Adobe and other innovative product companies.

● Ability to make a global impact with your work, leading innovations in Conversational AI,

Energy/Utilities, ESG, HealthTech, IoT, Risk/Compliance, CyberSecurity, PLM and more.

You will work with a founding team of serial entrepreneurs with multiple successful exits to their credit.

The learning will be immense just as will the challenges.

This is the right time to join us and partner in our growt