DocLens.ai
https://doclens.aiDocLens.ai is a SaaS Legal Risk Technology platform which applies the lens of AI/ML to structured & unstructured data, including documents, and leverages a unique risk framework. We combine AI & Experience to Reduce Legal Risks and Costs.
Jobs at DocLens.ai
Overview:-
DocLens.ai is a US-based Insurtech startup founded by industry veterans (ex-CapGemini, IBM, CNA, Cisco Meraki, EXL) from the fields of Insurance, Technology, and AI. We are committed to transforming the insurance sector with cutting-edge AI-driven Risk Assistant solutions.
We are seeking an experienced Cloud Integration Engineer with a strong background in Azure AI. The role focuses on supporting post-sales client integrations by migrating solutions from Azure to AWS while ensuring seamless implementation of our AI-based products.
This is a hands-on role involving technical work, client engagement, and cross-functional collaboration to ensure successful migration and product integration.
Key Responsibilities:-
- Serve as the main point of contact for assigned Insurtech AI customers.
- Develop and maintain strong relationships with clients to ensure they achieve their desired outcomes with the AI project.
- Coordinate the implementation of Insurtech AI solutions on Azure, ensuring seamless delivery and execution.
- Work with internal and external teams (engineering, data science, cloud specialists) to customize solutions that meet the insurance sector's requirements. This will require spending time at the customer location (Bangalore itself).
- Track project milestones, ensuring timely delivery and resolution of any technical or business issues.
- Conduct regular check-ins with clients to review the performance of the AI solution, ensuring optimal usage of Azure’s cloud and AI services.
- Analyze customer feedback and usage patterns to recommend enhancements or additional Azure services that can improve their Insurtech AI outcomes.
- Develop training materials, user guides, and best practices to help clients maximize their use of AI features on Azure.
- Use Azure’s analytics and reporting tools to provide clients with insights into AI model performance, helping them make data-driven decisions.
- Monitor KPIs and other success metrics, ensuring that clients meet their key objectives with AI adoption.
- Act as the customer’s voice internally, ensuring product, engineering, and support teams are aligned with client goals.
- Participate in troubleshooting sessions to resolve any technical issues in collaboration with Azure’s support and cloud engineering teams.
Qualifications:-
Experience:
- 6+ years of experience in cloud solutions in a SaaS, Cloud, or AI-focused environment.
- Hands-on experience with Azure AI services (Azure AI, Machine Learning, Cognitive Services).
- Familiarity with AWS cloud services and data workflows for seamless migration and integration.
- Experience working with Insurtech or insurance clients is a strong advantage.
Technical Skills:
- Expertise in Azure services and tools, with working knowledge of AWS services such as S3, Lambda, SageMaker, and Glue.
- Basic understanding of AI/ML models and their practical applications in business.
- Proficiency in managing data transformations, pipelines, and analytics workflows.
Soft Skills:
- Strong communication and interpersonal skills for managing client relationships.
- Proven ability to solve complex problems and drive technical discussions to resolution.
- Ability to work collaboratively in cross-functional teams.
Education:
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
What We Offer:-
- Competitive salary and performance-based bonuses.
- Opportunity to work on impactful projects at the intersection of AI and Insurance.
- A collaborative, innovative work environment with an early-stage startup.
- Hands-on experience with cutting-edge technologies across Azure and AWS ecosystems.
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