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Open nowPosted 8 days ago

Solution Architect

Digit88 Technologies Private Limited18 open roles

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Your applicationOpen nowSolution ArchitectDigit88 Technologies Private Limited

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Share of postings closed within
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  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted 8 days ago

The posting

Role : Solution Architect

Experience: 8+ Years

Location: Bengaluru (Hybrid)

Type: Full-time

About Digit88

Digit88 is an AI-native product engineering partner helping startups and enterprises build, scale and operate intelligent software products.

We are a lean, high-impact team of 75+ technologists, backed by leaders with deep experience across startups and global enterprises. We build strong, outcome-driven engineering teams that solve complex, real-world problems.

From GenAI applications and data platforms to enterprise-grade SaaS, we deliver scalable, reliable, production-ready systems. Our expertise spans AI/ML, RAG systems, agentic workflows and large-scale data engineering - enabling businesses to move from idea to production with speed and confidence.

Our teams operate as a true extension of our clients, with full ownership and flexible engagement models focused on measurable business outcomes - not just delivery.

With 80+ AI implementations and proven success in scaling dedicated teams and driving significant cost efficiencies, we partner for long-term impact.

We bring experience across B2B and B2C SaaS, web and mobile platforms, e-commerce and domains such as Conversational AI, HealthTech, IoT, ESG/Energy, and Data Engineering - thriving in fast-paced, high-ownership environments.

The Vision:

To be the most trusted AI-native product engineering partner for innovative software companies worldwide, delivering ownership, speed, and measurable outcomes.

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 critical changes; 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 growth

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