Strategic AI Solutions Architect

A forward-thinking Senior AI Engineer is sought to join our elite consulting team. You will work on diverse internal R&D initiatives and high-stakes client projects, delivering production-ready AI systems that solve real business problems.

This role combines deep technical expertise with client-facing responsibilities. You will architect solutions, lead implementation, and present to C-level executives and technical stakeholders.

• Design and implement end-to-end AI solutions for clients across various industries and use cases
• Build sophisticated LLM applications using RAG, vector databases, fine-tuning, and agentic workflows
• Develop custom ML models for client-specific challenges including NLP, computer vision, and predictive analytics
• Independently assess, clean, and engineer features from complex, messy datasets
• Own the complete data pipeline from ingestion through model training and deployment
• Lead technical discovery sessions and solution architecture discussions with client stakeholders
• Present technical concepts and project outcomes to executive leadership and technical teams
• Mentor junior engineers and establish AI/ML best practices across client engagements
• Collaborate with cross-functional teams including product managers, designers, and business stakeholders
• Contribute to internal R&D initiatives and thought leadership in AI/ML

• 5+ years of professional software development experience with strong fundamentals
• 5+ years deploying production machine learning systems at scale
• 3+ years of hands-on experience with LLMs, including API integration and local deployment
• Strong data engineering and data science expertise—you can work with raw, unstructured data and transform it into ML-ready datasets
• Proficiency with data manipulation tools: pandas, NumPy, SQL, and big data frameworks (Spark, Dask)
• Expert-level Python proficiency with deep knowledge of ML frameworks (PyTorch, TensorFlow, Hugging Face)
• Proven experience with modern AI techniques: RAG, vector search, prompt engineering, and agentic systems
• Strong cloud platform expertise (AWS, GCP, Azure) with containerization and orchestration experience
• Experience building scalable microservices, APIs, and ML inference pipelines
• Demonstrated ability to work independently and manage complex projects end-to-end with minimal oversight
• Exceptional communication skills with experience presenting to senior leadership
• Consulting mindset with ability to understand business requirements and translate them into technical solutions
• Track record of leading technical projects from conception to production deployment
• Upper-Intermediate English level

• Previous consulting or client-facing engineering experience
• Experience across multiple industries (fintech, healthcare, e-commerce, etc.)
• Advanced statistical analysis and experimentation design experience
• Experience with streaming data platforms and real-time ML systems
• Contributions to open-source AI/ML projects or technical publications
• Experience with MLOps, model monitoring, and deployment automation
• Background in data engineering and large-scale data processing
• Advanced degrees in Computer Science, AI/ML, or related technical fields
• Startup or fast-paced environment experience

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office