Senior AI Engineer
Solveify Tech
45-55 LPA
Location: Hyderabad
Posted: December 21, 2025
Posted By: System Administrator
Job Description
As a technical authority, the Senior AI Engineer partners with Product, Data Science, Data Engineering, and Platform teams to translate business goals into reliable, measurable, and secure AI implementations. The role drives innovation through applied experimentation, defines reusable frameworks and standards for AI integration, and improves efficiency through automation and observability.
Success in this position means delivering customer and business outcomes by improving platform intelligence, developer velocity, and operational efficiency, while shaping the long-term technical direction for how AI is built.
Results Driven
Leads end-to-end development of AI and ML and generative models that deliver measurable performance, reliability, and ROI.
• Defines technical KPIs for scalability, latency, and accuracy aligned with business outcomes.
• Translates strategy into executable AI roadmaps and collaborates with stakeholders to ensure impact.
• Partners with AI Product Strategy to engage customers and prospects to refine go-to-market success.
Takes Ownership
Acts as a subject matter expert for AI architecture, frameworks, and model lifecycle management.j
• Ensures data governance, security, compliance, and operational stability across AI deployments.
• Proactively resolves blockers, defines governance routines, and ensures disciplined execution.
Innovative
Evaluates and prototypes emerging AI technologies including LLMs, agentic frameworks, and multimodal systems.
• Leads automation using MLOps, monitoring, and self-learning pipelines.
• Utilizes GenAI tools such as Azure OpenAI, LangChain, and Semantic Kernel to accelerate development and experimentation.
Customer Centric
Designs AI-powered experiences to enhance payer engagement and personalization.
• Collaborates with Product and Client Success teams to align solutions with customer needs.
• Advocates for responsible AI with fairness, transparency, and trust.
Requirements
8 or more years of software engineering experience including 3 or more years building AI or ML or LLM-powered applications.
• Proven success delivering scalable AI systems in a SaaS environment.
• Expertise with Python and C# and experience with Semantic Kernel, LangChain, Azure OpenAI, Fast API, and vector databases.
• Strong understanding of model evaluation, prompt tuning, inference optimization, and observability.
• Excellent communication and leadership skills with experience mentoring engineers and influencing architecture.
Success in this position means delivering customer and business outcomes by improving platform intelligence, developer velocity, and operational efficiency, while shaping the long-term technical direction for how AI is built.
Results Driven
Leads end-to-end development of AI and ML and generative models that deliver measurable performance, reliability, and ROI.
• Defines technical KPIs for scalability, latency, and accuracy aligned with business outcomes.
• Translates strategy into executable AI roadmaps and collaborates with stakeholders to ensure impact.
• Partners with AI Product Strategy to engage customers and prospects to refine go-to-market success.
Takes Ownership
Acts as a subject matter expert for AI architecture, frameworks, and model lifecycle management.j
• Ensures data governance, security, compliance, and operational stability across AI deployments.
• Proactively resolves blockers, defines governance routines, and ensures disciplined execution.
Innovative
Evaluates and prototypes emerging AI technologies including LLMs, agentic frameworks, and multimodal systems.
• Leads automation using MLOps, monitoring, and self-learning pipelines.
• Utilizes GenAI tools such as Azure OpenAI, LangChain, and Semantic Kernel to accelerate development and experimentation.
Customer Centric
Designs AI-powered experiences to enhance payer engagement and personalization.
• Collaborates with Product and Client Success teams to align solutions with customer needs.
• Advocates for responsible AI with fairness, transparency, and trust.
Requirements
8 or more years of software engineering experience including 3 or more years building AI or ML or LLM-powered applications.
• Proven success delivering scalable AI systems in a SaaS environment.
• Expertise with Python and C# and experience with Semantic Kernel, LangChain, Azure OpenAI, Fast API, and vector databases.
• Strong understanding of model evaluation, prompt tuning, inference optimization, and observability.
• Excellent communication and leadership skills with experience mentoring engineers and influencing architecture.
Application Stats
Total Applications: 0
Posted: Dec 21, 2025