Job Description

HCLTech is looking for a highly talented and self-motivated Generative AI Architect

to join it in advancing the technological world through innovation and creativity.

Job Title: Generative AI Architect

Job ID: 1605752BR

Position Type : Fulltime

Location: Dallas, TX

Job Summary:

• The AI Solution Architect will be responsible for translating complex business challenges into viable, scalable, and secure AI/ML solutions.
• This role requires a deep understanding of AI/ML methodologies, data architectures, cloud platforms, and software engineering best practices.
• The successful candidate will work closely with business stakeholders, data scientists, ML engineers, software developers, and IT operations teams to architect, guide, and ensure the successful delivery of AI-powered products and services.

Key Responsibilities:

• Strategic AI Solution Design: Collaborate with business leaders and product managers to understand business requirements, pain points, and opportunities where AI can deliver significant value.
• Design end-to-end AI/ML solution architectures, including data pipelines, model development frameworks, deployment strategies, and integration with existing enterprise systems.
• Develop architectural blueprints, technical specifications, and detailed design documents for AI/ML initiatives.

Technology Selection & Evaluation:

• Research, evaluate, and recommend appropriate AI/ML technologies, platforms, frameworks, tools, and services (e.g., TensorFlow, PyTorch, scikit-learn, AWS SageMaker, Azure ML, Google AI Platform, MLOps tools).
• Make informed decisions regarding cloud, on-premises, or hybrid deployment models, considering scalability, performance, cost-effectiveness, security, and maintainability.
• Stay abreast of the latest advancements in AI/ML, Generative AI (LLMs, diffusion models), and related emerging technologies, assessing their potential impact and applicability.

Technical Leadership & Guidance:

• Provide technical leadership and architectural guidance to data science, ML engineering, and software development teams throughout the entire AI/ML lifecycle (experimentation, development, deployment, monitoring).
• Ensure adherence to architectural principles, coding standards, best practices in model development, versioning, testing, and validation.
• Conduct architectural reviews and provide constructive feedback to ensure solution integrity and quality.

Data Architecture & Management:

• Work closely with data engineers and data governance teams to design robust data architecture that support AI/ML initiatives, ensuring data quality, accessibility, security, and ethical handling.
• Understand and influence data collection, storage, processing, and feature engineering strategies relevant to AI/ML models.
• Design AI solutions that are highly scalable, performant, resilient, and secure, capable of handling large datasets and high inference volumes.
• Implement robust security measures and privacy-by-design principles in all AI architectures.

Ethical AI & Compliance:

• Champion responsible AI practices, ensuring that all AI solutions are developed and deployed ethically, addressing considerations such as fairness, bias mitigation, transparency, and explainability.
• Ensure compliance with relevant data privacy regulations (e.g., GDPR, CCPA) and industry-specific standards.

Stakeholder Communication:

• Effectively communicate complex technical AI concepts and architectural decisions to both technical and non-technical stakeholders (including executive leadership).
• Manage expectations, present progress, and articulate the business value and ROI of AI solutions.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related quantitative field
• 10 years of experience in solution architecture, with at least 5+ years specifically focused on designing and implementing AI/ML solutions in an enterprise environment.
• Proven expertise in designing and deploying end-to-end machine learning pipelines.

Additional requirements:

• Hands-on experience with at least one major cloud platform's AI/ML services (AWS, Azure, GCP).
• Proficiency in programming languages commonly used in AI/ML (e.g., Python, R, Java).
• Familiarity with MLOps principles and tools for continuous integration, deployment, and monitoring of ML models.
• Solid understanding of data governance, data quality, and data security principles.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication, presentation, and interpersonal skills, with the ability to influence and collaborate effectively across diverse teams.

Preferred Qualifications:

• Experience with Generative AI models (LLMs, diffusion models) and related frameworks (e.g., LangChain, LlamaIndex).
• Experience with big data technologies (e.g., Spark, Hadoop, Kafka).
• Certifications in relevant cloud AI/ML platforms (e.g., AWS Certified Machine Learning
• Specialty, Google Cloud Professional Machine Learning Engineer).
• Experience with agile development methodologies

Pay and Benefits

Pay Range Minimum: $190000 per year

Pay Range Maximum: $200000 per year

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Job Tags

Similar Jobs