Envestnet, Inc
Website:
envestnet.com
Job details:
Description
Job Location
The primary work location for this role is Trivandrum with a hybrid or remote work model.
About Envestnet
Envestnet is an adaptive WealthTech company that is redefining the future of wealth management by helping advisors meet the moment with its comprehensive technology, actionable insights, and industry leading support. Backed by over 25 years of experience and approximately $7.0 trillion in platform assets, Envestnet is trusted by over one third of financial advisors across leading banks, wealth managers, brokerages, and RIAs.
For a deeper look at how Envestnet is shaping the future of financial advice, visit www.envestnet.com.
The Team You’ll Join
You will join Envestnet’s Technology team, where we design, build, and maintain scalable, secure, and robust WealthTech solutions that power the future of financial advice. The team collaborates closely with product, operations, and business stakeholders to drive innovation, enhance efficiency, and enable sustainable growth. Guided by modern engineering practices and a commitment to domain excellence, technical rigor, and collaboration, the Technology team ensures our platforms remain resilient, adaptable, and aligned with evolving business needs making it a core driver of Envestnet’s long term success.
How You’ll Contribute
The Lead AI Quality Assurance Engineer is responsible for leading the quality assurance strategy, validation activities, and governance practices for AI-enabled products, platforms, and operational processes. This role partners closely with Engineering, Data Science, Product Management, Cybersecurity, Legal, Risk, and business stakeholders to ensure AI solutions are accurate, reliable, secure, compliant, and aligned with business and client expectations. The position combines advanced quality engineering expertise with AI/ML validation practices and serves as a technical leader for scalable and trustworthy AI adoption.
- Provide analytical, technical, and project leadership support for the delivery, adoption, and stabilization of AI-enabled products, platforms, and strategic initiatives.
- Lead portions of AI quality assurance initiatives with moderate complexity and organizational impact.
- Facilitate quality reviews, stakeholder workshops, model validation discussions, and testing strategy sessions.
- Assess current-state and future-state AI testing processes and recommend improvements to testing effectiveness, efficiency, and governance.
- Partner with business, operations, product, engineering, and data science teams to align AI quality objectives with business outcomes.
- Develop AI quality roadmaps, testing frameworks, operational models, and support process documentation.
- Identify operational, technical, compliance, and model-related risks and recommend mitigation strategies.
- Lead validation activities for AI models, data pipelines, automation workflows, user-facing AI capabilities, vendors, tools, and third-party technologies.
- Evaluate quality, reliability, security, governance, and compliance considerations associated with AI products and services.
- Utilize quality metrics, test analytics, and operational performance data to measure AI solution effectiveness and drive continuous improvement of testing methodologies, monitoring standards, automation capabilities, and governance practices.
What You’ll Need To Bring
This Lead role requires Skilled proficiency in AI Quality Assurance job-family competencies, along with relevant experience in quality engineering and AI/ML validation.
- Relevant years of Quality Engineering, Software Testing, SDET, or Quality Assurance experience.
- Ability to evaluate complex problems, identify root causes, assess alternatives, and implement practical, scalable, data-driven solutions.
- Demonstrated ability to establish and maintain productive relationships across business, technology, product, engineering, data science, and risk organizations.
- Knowledge of process improvement techniques, operational workflows, dependency management, quality optimization, and governance practices.
- Ability to communicate technical and non-technical concepts clearly to diverse audiences, including leadership stakeholders.
- Experience coordinating cross-functional initiatives, managing dependencies, tracking progress, and delivering measurable outcomes.
- Strong understanding of AI concepts, machine learning fundamentals, AI system capabilities, limitations, risks, and practical applications, with experience validating AI/ML models, Generative AI applications, LLM-enabled systems, or data science solutions.
- Experience with automated testing frameworks, API testing, model evaluation, prompt testing, hallucination testing, data quality validation, AI governance controls, and regulatory, security, privacy, or responsible AI requirements.
Nice-to-Haves
- Experience with Retrieval Augmented Generation (RAG), agentic AI, multi-agent workflows, orchestration frameworks, vector databases, and knowledge-grounding architectures.
- Familiarity with MLOps/LLMOps practices, model deployment pipelines, AI observability, production monitoring, experimentation frameworks, and cloud AI platforms such as Azure AI Foundry, AWS Bedrock, or Vertex AI.
- Experience using Python, SQL, notebooks, data analysis, synthetic data generation, evaluation datasets, and advanced reporting techniques to support AI quality insights and decision-making.
Why You’ll Enjoy Working at Envestnet
Help shape the future of WealthTech. At Envestnet you’ll gain hands-on experience and collaborate with some of the industry’s brightest minds to deliver meaningful, innovative solutions that make a real difference.
We value flexibility in how and where work gets done, and we recognize strong performance with meaningful rewards—because your contributions should drive both business success and your own personal growth. If you’re looking for a place where your work has impact, your development is supported, and your contributions are truly valued, Envestnet is where you can build your future.
The opportunity is now!
Our Investment in You
At Envestnet, our total rewards philosophy is designed to attract, motivate, and grow exceptional talent. We offer competitive, market-aligned compensation complemented with performance-linked incentives and rewards programs that recognize and reward impact.
In addition, we provide a comprehensive suite of benefits - subject to Envestnet’s plan eligibility rules - that support your overall well-being, including medical insurance for you and your family, annual health check-ups, free online doctor consultations and telemedicine services, subsidized health club memberships, and an employee assistance program. Our investment in you means supporting you professionally, financially, and personally at every stage of your journey with us.
Our Commitment to Inclusion & Belonging
Envestnet is an Equal Employment Opportunity employer and does not discriminate in employment on the basis of religion, race, color, caste, sex, gender, gender identity or expression, pregnancy, age, disability, medical condition, nationality, ethnic origin, marital status, or any other status protected under applicable Indian law. This commitment is in accordance with the Constitution of India and applicable labor and employment laws. All employment decisions are made solely based on merit, qualifications, performance, and business needs.
We strive to provide an inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation, please contact us at [email protected]. Please include your full name, the title of the role you are applying for, and the accommodation necessary to assist you with the recruiting process.
Recruitment Fraud
At Envestnet, safeguarding the trust and safety of job seekers is a top priority. We are aware that scammers may impersonate Envestnet recruiters or create fake job opportunities to deceive candidates. Review the information on our recruitment fraud awareness page to help you recognize and avoid recruitment fraud.
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