Generative AI Solutions Architect

Application Deadline

October 31, 2026 (Early applications will be given preference)

Job Location

Gulshan-1, Dhaka

Number of Vacancies: 2

Who are we looking for?

We are looking for an experienced Generative AI Solutions Architect who can design, build, and scale production-grade LLM-powered, AI-assisted, and machine learning solutions.

Educational Requirements

• B.Sc. in Computer Science & Engineering, any other engineering discipline, Mathematics, Statistics, or a similar field from a reputed university.
• Note: Education requirements are not limited to the above. Candidates with the right skills and experience are encouraged to apply.

Experience Requirements

The ideal candidate will have 8+ years of professional experience in AI engineering, machine learning, software engineering, advanced analytics, or related fields, with experience in technical architecture or technical leadership roles.

Overview of the Responsibilities

• Architect and deliver production-grade Generative AI and ML systems.
• Build reliable, scalable, and maintainable AI solutions from experimentation to production.
• Design and support practical Generative AI use cases such as LLM-powered applications, AI assistants, RAG, and agentic workflows.
• Translate business and client requirements into practical AI solution architectures.
• Work with Data Scientists, Data Engineers, and Software Engineers to turn prototypes into production-ready systems.
• Guide teams on responsible use of AI tools such as GitHub Copilot, Claude Code, Codex, OpenClaw, and similar platforms.
• Mentor software teams and help them use Generative AI tools effectively in their day-to-day engineering work.
• Define and improve LLMOps and MLOps practices, including deployment, monitoring, evaluation, retraining, and feedback loops.
• Build CI/CD pipelines for AI/ML workflows, including data validation, feature engineering, model validation, prompt evaluation, and drift detection.

Key Requirements

• Practical experience designing LLM-powered applications such as AI assistants, RAG systems, agentic workflows, or AI-assisted engineering tools.
• Strong knowledge of LLM APIs and/or locally hosted LLMs, including tools such as LM Studio, Ollama, vLLM, Hugging Face, Azure OpenAI, or similar platforms.
• Experience with LangSmith, LangChain, LangGraph, foundation models, RAG, MCP, vector databases, or prompt evaluation.
• Hands-on experience with production ML/AI systems and MLOps or LLMOps practices.
• Experience with orchestration and containerization tools such as Docker, Kubernetes, or similar.
• Hands-on experience with monitoring, evaluation, drift detection, and feedback loops in production environments.
• Experience using tools such as GitHub Copilot, Claude Code, Codex, OpenClaw, or similar tools.
• Ability to review, debug, test, and validate AI-generated code before using it in production.
• Ability to mentor engineers and explain Generative AI concepts in a practical, easy-to-understand way.
• Strong programming skills in Python or similar languages.
• Ability to use cutting edge technologies like AI to efficiently deliver tasks.

Nice To Have Requirements

• Strong experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
• Experience with internal AI assistant development, AI coding workflows, or enterprise AI enablement.
• Exposure to recommendation systems, search, or personalization platforms.
• Exposure to data warehouses such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse.
• Notable experience in Kaggle or other machine learning competitions.
• Hands-on expertise in MLOps tooling such as MLflow, SageMaker, or similar.

What's in it for you?

• Lead cross-functional teams and establish enterprise-wide AI best practices.
• Opportunity to architect mission-critical AI/ML solutions for global clients.
• Very competitive salary and excellent career opportunity in a focused and stable organization.
• Most importantly, a friendly work environment with opportunity to learn from a number of highly skilled mentors.