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Tiger Analytics

AI Presales - BFS

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Job Description

Job Description
Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in the Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

About the role:
Tiger Analytics is seeking a AI Solutions Architect (Presales Consultant) is a critical technical and strategic role that serves as the bridge between our core AI offerings, the sales team, and the customer's business needs. This role is responsible for translating complex customer challenges into compelling, scalable AI solutions, demonstrating technical feasibility, and articulating clear Return on Investment (ROI).
As the subject matter expert in Generative AI & Agentic AI applications, driving the technical close on the most strategic enterprise opportunities.
Location: Hyderabad, Chennai, Bangalore

Responsibilities
Job Responsibilities:
1. Lead technical discovery sessions to analyse customer environments, identify pain points, and design end-to-end AI solution architectures in collaboration with technical teams.
2. Define and validate integration approaches for AI solutions with existing enterprise systems such as CRM, ERP, and CPaaS platforms.
3. Conduct technical and business workshops, including whiteboarding sessions, with architects, engineering leaders, and CXOs to align on solution design.
4. Design and execute Proof of Concepts (PoCs) and rapid prototypes to demonstrate technical feasibility and measurable business outcomes.
5. Develop and maintain industry-specific AI demos and solution showcases to support presales and customer engagements.
6. Partner with Sales and Business Development teams to technically qualify opportunities and support deal strategy throughout the sales cycle.
7. Lead executive-level discussions and presentations, translating complex AI capabilities into clear business value and ROI.
8. Own technical solutioning and content for RFPs, RFIs, and proactive proposals, ensuring accuracy, compliance, and differentiation.
9. Identify technical risks, dependencies, and constraints within proposed solutions and define mitigation strategies.
10. Collaborate with Product and Engineering teams to incorporate PoC feedback and influence the AI product roadmap.
11. Stay current on GenAI and Agentic AI trends, competitive landscape, and emerging technologies.
12. Contribute to internal knowledge sharing, training, and best practices for AI solution selling.

Job Requirement
Required Qualifications, Capabilities and Skills:
1. 10+ years of experience in a Presales, Solutions Architecture, or Consulting role within the SaaS or Enterprise Software space.
2. 3+ years of hands-on experience in implementing or selling AI-led solutions (non-exhaustive examples being Conversational AI, AI for BI, Contact Center AI, NLP, or Generative AI platforms).
3. Understanding of API design, cloud architectures (AWS, Azure, GCP), and enterprise integration patterns.
4. Proven ability to translate technical features into clear business benefits and financial justification (ROI).
5. Exceptional communication, presentation, and complex stakeholder management skills.
6. Bachelor's degree in Computer Science, Engineering, or a related technical field is preferred.

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About Company

"Marketing Analytics. Apply analytics to enhance the impact of your marketing spend &#x3B; Customer Analytics. Analyze and map customer DNA for meaningful engagement.

Job ID: 142925177