Solution Architect - AI

We are seeking an experienced Solution Architect with experience in AI and machine learning solutions. As a Solution Architect, you will be responsible for designing and implementing AI-driven solutions for a wide range of applications. Your focus will include developing intelligent systems and chatbots using predictive models, LLMs, RAG and other technologies that provide substantial business value. You will also play a pivotal role in leading and mentoring a talented team of engineers to deliver impactful and innovative solutions. This is a hands-on role that requires both technical expertise and a strong strategic mindset.


YOUR ROLE 

• Solution Architecture: Design and architect AI/ML-driven solutions to address complex business challenges, ensuring scalability, performance, and robustness.

• AI/ML Strategy: Define and execute the AI/ML roadmap, working closely with product and engineering teams to align with overall business objectives.

• Team Leadership: Lead a team of engineers, providing technical guidance, mentoring, and fostering a collaborative environment.

• Innovation: Stay at the forefront of AI/ML trends and technologies, continually integrating the latest advancements into solutions.

• Collaboration: Work with cross-functional teams including Data Scientists, Data Engineers, Product Managers, and business stakeholders to define solution requirements and deliver high-quality outcomes.

• End-to-End Execution: Oversee the entire lifecycle of the solution from ideation and design to implementation and production.

• Quality Assurance: Ensure the technical quality, scalability, and sustainability of solutions through rigorous testing, code reviews, and best practices.

JOB REQUIREMENTS

• Experience: At least 10 years of experience in software development with relevant experience in AI/ML architecture, design, and development, with a strong background in delivering scalable AI solutions.

• Technical Skills:

  1. Proficient in programming languages, preferably Python.

  2. Proven experience in designing and deploying chatbots/ conversational agents using NLP techniques and frameworks such as Rasa, DialogFlow, or similar platforms.

  3. Deep knowledge of Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), including GPT models, and similar architectures.

  4. Hands-on experience with predictive modeling techniques including time series forecasting, regression, classification, and anomaly detection.

  5. Experience with advanced AI techniques like reinforcement learning, deep learning, and computer vision.

  6. Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure).

  7. Familiarity with DevOps practices and CI/CD pipelines for deployment.

• Analytical Abilities: Strong analytical and problem-solving skills with a drive for optimization and results.

• Communication Skills: Excellent verbal and written communication skills with the ability to document processes and collaborate effectively with diverse teams.

• Education: Bachelor’s degree in Computer Science or equivalent. Professional certifications in AI or related areas are a plus.