Highlights
Ownership-driven, detail-oriented engineer with expertise in AI/ML lifecycle and API integrations.
Description
Job Summary
pWe are seeking an AI Solution Engineer to work with our clients and technical teams in identifying and solving complex business problems through AI-driven solutions. This role requires a blend of business acumen, data analysis, and technical expertise.
Responsibilities
- Understand customer workflows and identify AI-driven opportunities.
- Translate business needs into clear problem statements and success metrics.
- Collaborate with AI/Engineering teams to design feasible solutions.
- Analyze data, validate hypotheses, and measure solution impact.
- Support pilots, POCs, and production deployments.
- Create solution documentation, briefs, and stakeholder presentations.
- Act as the link between business teams and technical teams.
Required Skills
- Data analysis
- Problem-solving ability
- SQL and Excel proficiency
- API integration experience
- Communication skills
Required Skills Explained
- Strong analytical and problem-solving ability: Essential for identifying AI-driven opportunities and translating business needs into clear problem statements.
- Comfort with SQL / Excel / Python (preferred): Proficiency in these tools is crucial for data analysis, hypothesis testing, and solution validation.
- Basis understanding of AI/ML workflows: Knowing the lifecycle from build to evaluation helps in designing effective solutions.
- Ability to interpret model outputs into business insights: This skill bridges technical outcomes with practical business value.
Who is this for
pThis role is ideal for individuals with a background in analytics, AI/data projects, and B2B environments. Strong problem solvers who can bridge the gap between business needs and technical solutions are particularly suited for this position.
Why This Job is a Good Opportunity
ulliTo work at the intersection of business, data, and AI, solving real-world problems.liPotential for impact: Direct involvement in pilots, POCs, and production deployments can significantly influence business outcomes.liCollaboration with multidisciplinary teams: Engage with both business and technical teams to foster innovation.liGrowth opportunities: The role offers a pathway to advanced AI roles and leadership positions within the tech industry.
Interview Preparation Tips
- Prepare examples of how you have successfully translated business needs into data-driven solutions.
- Discuss your experience with real-world analytics/AI/data projects, focusing on problem-solving processes.
- Be ready to explain your understanding of the AI/ML lifecycle and its practical applications.
- Showcase your communication skills by providing instances where you effectively managed stakeholder expectations.
Career Growth in This Role
pThis role positions candidates for advancement into more specialized AI engineering roles or leadership positions within data analytics. With experience, one can explore deeper technical roles such as Machine Learning Engineer or Architect, or take on managerial responsibilities overseeing AI initiatives.pThe skills gained here are highly transferable across industries and sectors, opening doors to various opportunities in the tech landscape.
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Skills
Frequently Asked Questions
What is the role of an AI Solution Engineer?An AI Solution Engineer works on understanding customer workflows, translating business needs into technical solutions, and supporting production deployments.
What skills are required for this position?Skills include data analysis, problem-solving ability, SQL proficiency, API integration experience, and communication skills.
Where is the location of this job?The role is based in Bangalore.
