Company : Feuji Software Solutions Pvt Ltd.,
Experience : 12 15 years
Work Location: Hyderabad - Work from Office
Role : Technical Architect AI/ML
About Feuji :
Feuji, established in 2014 and headquartered in Dallas, Texas, has rapidly emerged as a leading global technology services provider. With strategic locations including a Near Shore facility in San Jose, Costa Rica, and Offshore Delivery Center in Hyderabad, we are well positioned to cater to a diverse clientele. Our team of 800+ talented engineers drives our success, delivering innovative solutions to our clients and contributing to our recognition as a 'Best Place to Work For.' We collaborate with a wide range of clients, from startups to industry giants in sectors like Healthcare, BFSI, Supply Chain, Pharma & Life Science, enabling transformative changes in their operations. Through partnerships with top technology providers, we empower our clients' growth and innovation. With a clientele including Microsoft, HP, GSK, and DXC Technologies, we specialized in applied AI Engineering solutions, Quality Engineering, Cyber Security, and Data Engineering Solutions. We are helping our clients build value based GCC teams nearshore & offshore. Our commitment to creating 'Happy Teams' underscores our values and dedication to positive impact. Feuji welcomes exceptional talent to join our team, offering a platform for growth, development, and a culture of innovation and excellence.
Role Overview:
We are looking for a hands-on Junior Technical Architect AI/ML who can design, develop, and implement AI/ML solutions to address business challenges and improve operational efficiencies. This is a predominantly technical individual contributor role, with approximately 95% focus on technical execution and 5% on collaboration and solution discussions. The ideal candidate should have strong AI/ML fundamentals, practical implementation experience, good communication skills, and the ability to translate complex technical solutions into simple business outcomes. The candidate will work closely with our Infrastructure, Quality Engineering (QE), and Data Engineering practices to identify opportunities for AI adoption, develop AI-enabled solutions, and improve the efficiency of our managed services offerings.
Key Responsibilities:
1. AI/ML Solution Design & Development:
- Design, develop, and implement AI/ML solutions based on business and customer requirements.
- Build practical AI applications using Generative AI, LLMs, RAG, AI agents, and automation frameworks.
- Develop prototypes and proof of concepts and take successful solutions towards production implementation.
- Work on solution architecture, API integrations, model selection, deployment, and performance optimization.
- Ensure solutions are scalable, secure, reliable, and aligned with business requirements.
2. AI-Enabled Managed Services
- Collaborate with Infrastructure, QE, and Data Engineering teams to identify opportunities for AI-driven automation and service improvements.
- Develop AI-enabled solutions that reduce manual effort, improve productivity, and optimize service delivery.
- Identify opportunities to bring approximately 25% operational efficiency into managed services offerings within the first year.
- Explore practical use cases for AIOps, intelligent automation, AI-assisted testing, and data-driven operations.
3. Technical Execution & Innovation
- Stay updated with emerging AI/ML technologies, frameworks, and industry developments.
- Evaluate AI tools, frameworks, and platforms and recommend suitable approaches for implementation.
- Write clean, maintainable, and reusable code.
- Troubleshoot technical challenges and continuously improve solution performance. Document technical architecture, implementation approaches, and solution outcomes.
4. Customer & Business Understanding
- Understand customer business models, operational processes, and key business challenges.
- Identify where AI/ML can create measurable business value and improve customer outcomes.
- Explain complex AI solutions in simple, business-friendly language.
- Support technical discussions, solution presentations, and AI proof-of-concept demonstrations.
- Work with internal teams to improve the effectiveness of AI solution pitches and customer conversions.
Required Technical Skills:
- Strong hands-on experience in Python and AI/ML development.
- Practical experience with Generative AI, LLMs, Prompt Engineering, and RAG architectures.
- Exposure to AI agents, agentic workflows, and orchestration frameworks such as LangChain or LangGraph.
- Knowledge of machine learning algorithms, NLP, and deep learning fundamentals.
- Experience integrating AI solutions with APIs, databases, and enterprise applications.
- Understanding of vector databases, embeddings, and semantic search.
- Exposure to cloud platforms such as Azure, AWS, or GCP.
- Knowledge of model deployment, monitoring, optimization, and MLOps practices.
- Strong problem-solving and analytical skills.
Education:
- Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related technical discipline.
- Strong academic fundamentals and relevant technical certifications will be an advantage.
Desired Candidate Profile:
- Strong technical contributor with a hands-on development and implementation mindset.
- Experience preferably from IT services companies or Global Capability Centers (GCCs).
- Good communication skills with the ability to explain technical concepts clearly. Demonstrated experience in delivering relevant AI/ML projects with measurable outcomes.
- Strong ownership, accountability, and commitment towards long-term assignments. Ability to work collaboratively across Infrastructure, QE, Data, and other technology teams.
- Stable career history with a consistent track record of project delivery.
