Bhavnish Walia on AI, Risk, and Responsible Innovation
For Bhavnish Walia, innovation isn’t defined by how fast you move, but by how thoughtfully you build. His career—from Citibank to Amazon—has been about bridging two worlds: the creative urgency of fintech innovation and the rigor of AI governance. Today, he leads the deployment of machine learning models for financial crime prevention, anchoring technological advancement in transparency, fairness, and regulatory compliance, at Amazon.
Joining TechArena’s Voices of Innovation, Bhavnish shares how his views on innovation have matured from chasing novelty to engineering resilience. In this conversation, he reflects on separating hype from substance, fostering human-AI collaboration, and shaping technologies that create both impact and trust at scale.
Q1: Can you tell us a bit about your journey in tech?
A1: I started at Citibank, in the Risk Management group, working on credit card portfolios and customer risk analytics. I then moved into a product role, spearheading the marketplace launch of the high-end airline credit card, a fintech project that had me craft the user experience, reward redemption flows, develop a risk management framework and mobile app enhancements, all with the goal of driving engagement and customer retention.
After that, I worked at Amazon in Risk and Compliance, and as my work progressed, I focused on leveraging AI and machine learning to prevent and detect financial crimes. I am now responsible for rolling out AI/ML models used in Anti–Money Laundering (AML) detection, fraud detection, and automation in KYC, making sure these systems work efficiently, as well as be Responsible AI–compliant, which complies with transparency, fairness, and regulatory standards.
In short, my career has been a journey from innovation in financial products to AI-powered risk management, blending fintech, compliance, and ethical AI.
Q2: How do you define “innovation” in today’s rapidly evolving tech landscape? Has your definition changed over the years?
A2: To me, innovation today is no longer about making something new, it’s about making something reliable, scalable, and responsible. In a time when technology is running faster than regulation, true innovation happens when we design the correct guardrails, release with confidence, and stabilize when they scale.
Earlier in my career, I viewed innovation primarily as novelty and efficiency, finding new ways to solve business problems or improve customer experience. But with time, especially working on risk management and AI, I came to develop a different understanding. I began to appreciate that innovation is about the balance between creativity and responsibility.
Q3: When you’re evaluating new ideas or technologies, what's your framework for separating genuine innovation from hype?
A3: When I think about new technology, I always work through the problem-first approach. The key question I ask is: Which problem is this technology solving, and is this problem meaningful enough to matter at scale?
Then I have three points in consideration:
- Scalability: Can the solution be scaled and implemented on a sustainable basis in different environments?
- Human impact: Does it fundamentally change how humans operate, make decisions, or access opportunities?
- Democratization of knowledge: Can it expand access to information, intelligence, or empowerment, not just for a few, but across industries and communities?
I like to see innovation as substantive and enduring.
Q4: How do you see the relationship between AI advancement and human creativity evolving? Are they competitors or collaborators?
A4: I view AI and human creativity as collaborators, not competitors. AI is highly competent in dealing with repetitive, administrative work that often consumes valuable manual time and energy. By automating these, AI frees this time and energy for higher-order thinking, strategic decision-making, and creative exploration. The future, I believe, is one that belongs to the concept of augmented creativity, in which human and AI work in tandem to design, innovate, and solve problems quickly and more ethically than either could alone.
Q5: What's a book, podcast, or idea that fundamentally changed how you think about technology or business?
A5: I've listened to the Pivot podcast hosted by Kara Swisher and Scott Galloway, for the last five years, and that has had a significant impact on the way I think about technology, leadership, and corporate accountability.
The show goes beyond market trends or valuations; it dives into the human and ethical dimensions of innovation, from the impact of social media on mental health to the need for accountability in Big Tech.
It’s made me more conscious of how we can integrate social good and responsible growth into product and AI development, to build systems that don’t just scale profits, but also support well-being, inclusion, and trust. That’s a philosophy I try to apply every day in my work at the intersection of AI, risk, and governance.
Q6: When you’re facing a particularly complex problem, what’s your go-to method for finding clarity?
A6: When I’m faced with a complex problem, my first step is to write it down; breaking it into smaller, structured components helps me see patterns and dependencies more clearly. From there, I turn to my network of peers and mentors to get diverse perspectives. I often ask myself, “Who should I talk to next who might have solved something similar?”
These conversations usually lead to valuable resources: books, podcasts, or frameworks that help me connect the dots. I’ve found that clarity often emerges not from isolation, but through curiosity, structured thinking, and collective insight.
Q7: Outside of technology, what hobby or interest gives you the most inspiration for your professional work?
A7: Outside of technology, I find a lot of inspiration through mentorship and community engagement. I enjoy mentoring recent graduates, helping them navigate career goals, understand the corporate landscape, and build confidence in their professional paths. It’s incredibly rewarding, and I often learn as much from their fresh perspectives as they do from my experience.
I also love participating in hackathons and startup events, listening to early-stage pitches, and volunteering with organizations that bring innovators together.
Q8: What excites you most about joining the TechArena community, and what do you hope our audience will take away from your insights?
A8: What excites me most about joining the TechArena community is the opportunity to connect with people from diverse industries and backgrounds who are all shaping the future of technology in their own ways. It’s a space where practitioners can share real-world experiences, challenges, and lessons learned beyond just theory.
I hope the audience walks away with a deeper understanding of how emerging technologies are being practically deployed inside organizations, how problems are being solved at scale, and how we can collectively bridge the gap between innovation and impact.
Q9: If you could have dinner with any innovator from history, who would it be and what would you ask them?
A9: I’d choose Steve Jobs. I recently read his biography and was fascinated by how he blended design, technology, and emotion to create experiences that changed how we live.
If I could have dinner with him, I’d ask:
“If you were building something today purely to help humanity, what would it be?”
and
“What technology he would create that could bring people together?”
That question captures what excites me most about the future of innovation: using technology to deepen connection and empathy, not division.
For Bhavnish Walia, innovation isn’t defined by how fast you move, but by how thoughtfully you build. His career—from Citibank to Amazon—has been about bridging two worlds: the creative urgency of fintech innovation and the rigor of AI governance. Today, he leads the deployment of machine learning models for financial crime prevention, anchoring technological advancement in transparency, fairness, and regulatory compliance, at Amazon.
Joining TechArena’s Voices of Innovation, Bhavnish shares how his views on innovation have matured from chasing novelty to engineering resilience. In this conversation, he reflects on separating hype from substance, fostering human-AI collaboration, and shaping technologies that create both impact and trust at scale.
Q1: Can you tell us a bit about your journey in tech?
A1: I started at Citibank, in the Risk Management group, working on credit card portfolios and customer risk analytics. I then moved into a product role, spearheading the marketplace launch of the high-end airline credit card, a fintech project that had me craft the user experience, reward redemption flows, develop a risk management framework and mobile app enhancements, all with the goal of driving engagement and customer retention.
After that, I worked at Amazon in Risk and Compliance, and as my work progressed, I focused on leveraging AI and machine learning to prevent and detect financial crimes. I am now responsible for rolling out AI/ML models used in Anti–Money Laundering (AML) detection, fraud detection, and automation in KYC, making sure these systems work efficiently, as well as be Responsible AI–compliant, which complies with transparency, fairness, and regulatory standards.
In short, my career has been a journey from innovation in financial products to AI-powered risk management, blending fintech, compliance, and ethical AI.
Q2: How do you define “innovation” in today’s rapidly evolving tech landscape? Has your definition changed over the years?
A2: To me, innovation today is no longer about making something new, it’s about making something reliable, scalable, and responsible. In a time when technology is running faster than regulation, true innovation happens when we design the correct guardrails, release with confidence, and stabilize when they scale.
Earlier in my career, I viewed innovation primarily as novelty and efficiency, finding new ways to solve business problems or improve customer experience. But with time, especially working on risk management and AI, I came to develop a different understanding. I began to appreciate that innovation is about the balance between creativity and responsibility.
Q3: When you’re evaluating new ideas or technologies, what's your framework for separating genuine innovation from hype?
A3: When I think about new technology, I always work through the problem-first approach. The key question I ask is: Which problem is this technology solving, and is this problem meaningful enough to matter at scale?
Then I have three points in consideration:
- Scalability: Can the solution be scaled and implemented on a sustainable basis in different environments?
- Human impact: Does it fundamentally change how humans operate, make decisions, or access opportunities?
- Democratization of knowledge: Can it expand access to information, intelligence, or empowerment, not just for a few, but across industries and communities?
I like to see innovation as substantive and enduring.
Q4: How do you see the relationship between AI advancement and human creativity evolving? Are they competitors or collaborators?
A4: I view AI and human creativity as collaborators, not competitors. AI is highly competent in dealing with repetitive, administrative work that often consumes valuable manual time and energy. By automating these, AI frees this time and energy for higher-order thinking, strategic decision-making, and creative exploration. The future, I believe, is one that belongs to the concept of augmented creativity, in which human and AI work in tandem to design, innovate, and solve problems quickly and more ethically than either could alone.
Q5: What's a book, podcast, or idea that fundamentally changed how you think about technology or business?
A5: I've listened to the Pivot podcast hosted by Kara Swisher and Scott Galloway, for the last five years, and that has had a significant impact on the way I think about technology, leadership, and corporate accountability.
The show goes beyond market trends or valuations; it dives into the human and ethical dimensions of innovation, from the impact of social media on mental health to the need for accountability in Big Tech.
It’s made me more conscious of how we can integrate social good and responsible growth into product and AI development, to build systems that don’t just scale profits, but also support well-being, inclusion, and trust. That’s a philosophy I try to apply every day in my work at the intersection of AI, risk, and governance.
Q6: When you’re facing a particularly complex problem, what’s your go-to method for finding clarity?
A6: When I’m faced with a complex problem, my first step is to write it down; breaking it into smaller, structured components helps me see patterns and dependencies more clearly. From there, I turn to my network of peers and mentors to get diverse perspectives. I often ask myself, “Who should I talk to next who might have solved something similar?”
These conversations usually lead to valuable resources: books, podcasts, or frameworks that help me connect the dots. I’ve found that clarity often emerges not from isolation, but through curiosity, structured thinking, and collective insight.
Q7: Outside of technology, what hobby or interest gives you the most inspiration for your professional work?
A7: Outside of technology, I find a lot of inspiration through mentorship and community engagement. I enjoy mentoring recent graduates, helping them navigate career goals, understand the corporate landscape, and build confidence in their professional paths. It’s incredibly rewarding, and I often learn as much from their fresh perspectives as they do from my experience.
I also love participating in hackathons and startup events, listening to early-stage pitches, and volunteering with organizations that bring innovators together.
Q8: What excites you most about joining the TechArena community, and what do you hope our audience will take away from your insights?
A8: What excites me most about joining the TechArena community is the opportunity to connect with people from diverse industries and backgrounds who are all shaping the future of technology in their own ways. It’s a space where practitioners can share real-world experiences, challenges, and lessons learned beyond just theory.
I hope the audience walks away with a deeper understanding of how emerging technologies are being practically deployed inside organizations, how problems are being solved at scale, and how we can collectively bridge the gap between innovation and impact.
Q9: If you could have dinner with any innovator from history, who would it be and what would you ask them?
A9: I’d choose Steve Jobs. I recently read his biography and was fascinated by how he blended design, technology, and emotion to create experiences that changed how we live.
If I could have dinner with him, I’d ask:
“If you were building something today purely to help humanity, what would it be?”
and
“What technology he would create that could bring people together?”
That question captures what excites me most about the future of innovation: using technology to deepen connection and empathy, not division.
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