AI Solution Engineer

Overview:

TekWissen is a global workforce management provider throughout India and many other countries in the world.

Title: AI Solution Engineer

Work Location:Bangalore

Job Type: Contract

• We are looking for an experienced AI Solution Engineer to act as the link between industry architects,who identify AI business cases, and the firms development capabilities.
• This role shapes AI solutions, meets client needs, and delivers measurable business value and technically feasible solutions.
• The AI Solution Engineer is a key technical resource responsible for selecting, designing, demonstrating, and delivering prototype solutions that align with customer needs and business goals during early engagement.
• As a trusted advisor, the Solution Engineer has a strong mix of technical expertise, problem-solving skills, and business acumen to effectively create cloud prototypes to demonstrate and communicate the value of solutions to both technical and non-technical stakeholders.
• They provide experience in identifying viable and feasible AI solutions to address specific client issues and demonstrate technical capability as part of proposals.
• They demonstrate extensive knowledge of hyperscaler AI offerings, understanding all of the technical requirements and dependencies of a product/solution and explaining them to potential clients.

What your days will look like:

• Primarily sales-oriented, this role is focused on supporting the sales process by bridging the gap between
• technical teams and non-technical salespeople. The role helps sales teams select and prospects understand the AI/ML solution, demonstrates how it solves their business problems, and assists in demonstrating AI technical excellence to the client in the early sales process

This role is for you if you have:

• Extensive experience working with sales teams and shaping viable and feasible software solutions as part of process change for enterprise customers
• AI Model Architecture Evidenced expertise in LLMs, SLMs, (Large Language Models/Small Language Models) performance, suitability, training requirements, and deployment
• Cloud & Hyperscalers Practical experience with at least two of the following is required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML is required
• An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts is required
• An understanding of the process and data complexities and prerequisites, and success criteria needed to deliver a solution that meets user and business needs
• Cloud Security & FinOps – Knowledge of landing zones, security, and AI cost optimization.

Must Have hands-on experience in the following areas, along with solution design:

• Must have experience into the complete life cycle- AI/ML experience.
• Should have hands-on experience in the following areas, along with solution design:
• Deep ML/LLM systems engineering
• RAG and Vector Stores
• Agent Workflow Building
• Hands-on delivery focused
• Strong experience building real GenAI solutions, including:
• RAG implementations
• LangChain / LangGraph
• Prompt engineering
• Vector databases & embeddings
• Comfortable leading delivery and making technical decisions
• Can code, prototype, and guide teams by example

TekWissen® Group is an equal opportunity employer supporting workforce diversity.