About Vericent
Vericent, based in Australia, is a technology innovator revolutionizing enterprise intelligence with its advanced AI platform. Equipped with features like anomaly detection, natural language processing (NLP), OCR, and RAG-based search, Vericent streamlines operations across financial services, cybersecurity, and recruitment. We are committed to helping global organizations achieve operational excellence through smarter, data-driven decision-making.

Role Description
We are seeking an AI Solutions Architect & Strategic Consultant to lead our high-stakes client engagements in a hybrid capacity from Hyderabad. This is a pivotal role where you will act as a trusted advisor, architecting end-to-end AI-integrated SaaS solutions. You will not only design the technical framework but also conduct "Discovery & Maturity" workshops to help C-suite stakeholders navigate the transition from legacy workflows to AI-augmented environments.

Key Responsibilities

Architectural Leadership: Design scalable, cloud-native AI architectures incorporating LLM orchestration (LangChain/LlamaIndex), Vector Databases, and RAG workflows.
Strategic Consulting: Conduct deep-dive sessions with enterprise clients to identify high-impact AI use cases and map them to specific business KPIs and ROI.
Prototyping & PoCs: Lead the development of Proof of Concepts (PoCs) that demonstrate the immediate value of Vericents platform within a client's specific infrastructure.
Technical Sales Support: Take full ownership of technical RFP responses, focusing on security, scalability, and AI ethical compliance.
Global Collaboration: Serve as the strategic bridge between our technical delivery teams in India and business leadership in Australia.

Qualifications

Experience: Minimum 5+ years of professional experience in IT, with at least 2 years specifically focused on AI/ML solutioning or high-level technical consulting.
Technical Mastery: Proven expertise in SaaS/Cloud Architecture (AWS, Azure, or GCP) and a deep understanding of the Generative AI lifecycle.
Business Acumen: Ability to calculate Total Cost of Ownership (TCO) and present complex technical roadmaps as persuasive business narratives to CEOs and CTOs.
Education: Bachelors or Masters degree in Computer Science, Engineering Management, or a related technical field.
Soft Skills: Exceptional presentation skills and the ability to manage both deep technical discussions and complex business negotiations.

What We Offer

Strategic Impact: A high-autonomy role where your architectural decisions directly influence the product roadmap and multi-million dollar deals.
Innovation Environment: Access to cutting-edge AI tools and the freedom to experiment with emerging technologies.
Growth: A collaborative, growth-oriented culture with exposure to both global business domains and deep-tech execution.

AI Solutions Architect & Strategic Consultant (SaaS)

Vericent

Job Description

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