Overview In this role you combine deep engineering expertise with strategic advisory to deliver AI-enabled, scalable solutions for clients. You will bridge technical and business teams, guiding roadmaps and ensuring measurable impact. The position blends hands-on development with leadership and mentoring to build client capabilities. You'll work in a high-performance, collaborative culture that values learning, ethics, and global collaboration. This is a chance to shape technology-driven transformations at scale within a premier consulting firm.
Compensation / Benefits- competitive salary
- comprehensive benefits package
- global learning and apprenticeship
- mentorship and development opportunities
Responsibilities- Design and build scalable data pipelines, ML models, and modern application layers
- Lead technical builds, scope ambiguous problems, and advise on strategy and ROI
- Translate business needs into actionable technical roadmaps and guide end-to-end solution delivery
- Mentor stakeholders and help clients sustain and scale technologies
- Shape emerging projects into deliverable roadmaps and execution plans
- Balance hands-on engineering with strategic advisory to deliver immediate and long-term impact
- Drive cross-functional collaboration between technical and business teams
- Deliver innovative, high-impact technologies while guiding clients to align priorities
Key requirements- Bachelor's or master's degree in computer science, engineering, or a related technical field
- 10+ years of software engineering or solution architecture experience
- Deep expertise in full-stack development and cloud infrastructure
- Proven experience with data pipelines, AI/ML, and deployment architectures
- Proficiency in AWS, Azure, and GCP; familiarity with containerization, orchestration, and serverless
- Strong deployment pipelines, observability, performance optimization, and security knowledge
- Proven mentoring ability and experience in fast-paced environments
- Excellent communication skills and ability to simplify complex concepts for varied audiences
- strong communication
- mentoring and coaching
- stakeholder alignment
- full-stack development
- data engineering
- AI/ML systems
