AVP _Research and Technology Innovation

Evolute group is a leading Indian ESDM (Electronics System Design & Manufacturing) &diverse multi-business conglomerate spread across trading, electronics product design & marketing across verticals like - Payment -Fintech, cleantech-energy storage and industrial electronics, softwaresolutions. Our expertise in embedded engineering & power electronics, indigenous design & development capabilities and market presence in 20+ countries has helped us carve a niche in the underdeveloped and developing geographic markets. The list of customers is a testimony to its ability to combine product reliability, performance and competitive pricing with a strong customer centricity, enabled with extensive design & development expertise and leading- edge technologies, Evolute group aspires to achieve 50 % + CAGR growth in no of esteemed customers, empowered employees, top line revenue, profits for all in next 5 yearswhich includes top line revenue of 1000s.

Position: AVP - Research and Technology Innovation

As the AVP your responsibilities & mission will include but are not limited to: Lead transformative R&D to drive Evolutes aggressive growth (50%+ CAGR) in Fintech and adjacent domains, leveraging deep tech (AI/ML, IoT, Embedded Systems, Cybersecurity) to build world-class, secure identity and payment solutions. Establish clear expectations, hold team members accountable and incentivize proactive issue resolution to deliver world class innovative solutions.

Security & Identity Management:

Ensure cutting-edge research in decentralized ID (DID), blockchain identity systems, MFA (Multi-Factor Authentication), and cybersecurity innovations.

Strategic Leadership & Impact Areas:

1. Identity & Security Leadership: Pioneer decentralized ID (DID), blockchain identity, MFA, and cybersecurity R&D. 2. AI/ML & Deep Tech Innovation: Spearhead development of biometrics (face/Finger/iris/voice), fraud detection, predictive analytics, and IoT/wearables integration. 3. Product & IP Generation: Translate research into prototypes/PoC s/MVPs and secure patents for novel algorithms/designs. 4. Tech Roadmap & Transformation: Define and execute R&D strategy aligned with fintech regulations and market demands. 5. Integration Architecture: Ensure seamless integration of AI, IoT data, cloud platforms, and identity solutions into existing fintech ecosystems.

Technical Leadership

Team Building & Mentoring: Building high-performing R&D teams, stakeholder management, strategic thinking.

Operational Responsibilities:-

Team Building: Foster a culture of creativity, accountability, and research excellence. Resource Management: Optimize R&D budget allocation and track project ROI. Cross-Functional Collaboration: Bridge R&D with Product, Engineering, Data Science, and Regulatory teams. Ecosystem Engagement: Manage vendors, academic partners, and startups for joint innovation.

Compliance and Risk Management

Risk Assessment in New Technologies:

Evaluate technological risks (e.g., data privacy, ethical AI usage, IoT vulnerabilities) and put mitigation plans in place during the research phase.

Key Differentiators for Candidates:

Proven Impact

: Demonstrate how your R&D leadership directly drove product innovation/growth in Fintech.

IP Portfolio:

Highlight filed/granted patents relevant to AI, identity, or embedded systems.

Thought Leadership

: Showcase conference presentations, whitepapers, or standards body participation.

Technical Agility:

Ability to connect deep tech (Embedded, AI, IoT, Security) into cohesive solutions.

Growth Mindset:

Passion for building teams and scaling innovation in a high-growth environment.

Internal Evangelism:

Promote a culture of innovation, learning, and agility inside the organization, regularly conducting workshops, hackathons, and ideation programs.

Stakeholder & Vendor Management

Collaborate with clients, internal teams, academia and third-party vendors. Evaluate and manage outsourcing partners and technology providers. Desirable Traits:

AI/ML Depth:

Hands-on experience in identity/fraud-focused AI model development.

Cybersecurity & Identity

: Mastery of secure identity frameworks (DID, MFA) and fintech security principles.

IoT Ecosystem

: Hardware/software integration for wearables/smart devices.

Cloud & Data

: Cloud-native architecture and big data analytics implementation.

IP & Compliance

: Proven patent filing experience and regulatory awareness (finance/data).

Agile R&D

: Project management in fast-paced, iterative research environments.

A technically deep,

Passion for mentoring and evangelizing innovation is essential.

1. Bachelor s/Master s degree in Engineering (Electronics, Computer Science, or related field)

Technical Mastery:

Embeddedsystems, software architecture, product lifecycle management.

Domain Knowledge:

Paymentsystems, digital wallets, banking APIs, embedded hardware.

Leadership:

Buildinghigh-performing R&D teams, stakeholder management, strategic thinking.