Solution Architect

Job Type: Full time No. of Vacancies: 1 Experience: 5 years
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Riseup Labs

 

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Job Context

Riseup Labs seeking a skilled Solution Architect with expertise in AI-driven application design to lead the architecture of next-generation digital platforms. The role involves designing scalable, secure, and intelligent solutions including chatbots, voice assistants, and LLM-powered applications.

Job Responsibilities:

  • Understand business requirements and design AI-enabled technical solutions. Architect applications using LLMs, conversational AI, voice AI, and NLP frameworks.
  • Create end-to-end solution architecture: frontend, backend, APIs, integrations, and cloud infrastructure.
  • Define strategies for AI model selection, fine-tuning, and deployment (OpenAI, Anthropic, HuggingFace, Rasa, etc.).
  • Ensure secure, scalable, and cost-optimized AI solutions on cloud platforms (AWS, Azure, GCP).
  • Integrate chatbots, voice AI, and intelligent assistants into web and mobile applications.
  • Design data pipelines and storage strategies for structured/unstructured data to support AI models.
  • Collaborate with data scientists, ML engineers, and developers to ensure successful delivery.
  • Conduct POCs, architecture reviews, and technical assessments for AI solutions.
  • Stay up to date with emerging AI tools and frameworks to continuously improve solution design.

Educational Requirements:

  • B.Sc in Computer Science and Engineering from any reputed public or private university.

Additional Requirements:

  • 5+ years of experience in solution architecture & software design, with at least 2+ years in AI/ML applications.
  • Strong expertise in chatbot frameworks (Dialogflow, Rasa, Microsoft Bot Framework) and LLM integration (OpenAI, Anthropic, HuggingFace).
  • Hands-on experience with speech-to-text (Whisper, AWS Transcribe), text-to-speech (Azure Speech, Google TTS), and voice AI systems.
  • Knowledge of NLP, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) architectures.
  • Proficiency in cloud-native AI deployments using Kubernetes, Docker, and serverless computing.
  • Familiarity with security, compliance, and data governance for AI solutions.
  • Strong communication skills with both technical and non-technical stakeholders.

Nice to have:

  • Certifications: AWS/Azure AI Engineer, Solutions Architect, or TOGAF.
  • Experience building SaaS platforms powered by AI.
  • Background in generative AI, recommendation systems, or real-time AI applications.

Workplace: 

  • Uttara, Dhaka

Salary: 

  • Negotiable

Compensation & Other Benefits:

  • Annual Performance Evaluation and Increment
  • Festival Bonus (2)
  • Group Life and Health Insurance
  • Full Subsidize Lunch
  • Annual Retreats
  • Wedding Bonus (As per company’s policy)
  • Celebration of Events & Occasions
  • Team Outing
  • Training & Development by Organization Assigned Consultants
  • Weekly 2 holidays (Fri & Sat)
  • Paid Time Off 24 days (CL & SL)
  • Maternity Leave with benefits (As per company's policy)
  • Paternity Leave
  • Public holidays as per Riseup Labs calendar

The Application Process:

  • Telephone Round;
  • Interview with the Tech Team & Talent Acquisition Team;
  • Interview with the HR Lead;
  • Job offer.

NB: Only shortlisted candidates will be communicated in the recruitment process.

 

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