AI and Data Engineering Architect

Job Description & Responsibilities:

Position Overview:

- Qentelli is seeking an experienced AI and Data Engineering Architect to lead our artificial intelligence initiatives, drive innovation through proof-of-concepts, and represent our organization in the AI industry ecosystem. This strategic role combines technical expertise with client engagement, team mentorship, and thought leadership to position Qentelli as a premier provider of AI solutions.

- The successful candidate will work directly with clients on AI implementations, guide technical teams, collaborate with senior management on AI strategy, and serve as Qentelli's technical ambassador at industry forums and conferences.

Core Responsibilities

Technical Leadership & Architecture:

- Design and architect end-to-end AI and data engineering solutions that meet enterprise-scale requirements

- Lead the development of proof-of-concepts (POCs) for AI initiatives, ensuring rapid prototyping and validation of technical approaches

- Establish technical standards, best practices, and architectural patterns for AI and machine learning implementations

- Evaluate and recommend AI/ML technologies, frameworks, and platforms aligned with client needs and industry trends

- Oversee data pipeline architecture, ensuring scalable, secure, and efficient data processing workflows

- Drive MLOps practices implementation, including deployment pipelines, and monitoring systems

Client Engagement & Solutions:

- Collaborate directly with clients to understand business requirements and translate them into technical AI solutions

- Present technical proposals, solution architectures, and POC results to client stakeholders and C-level executives

- Lead technical discovery sessions and requirements gathering workshops with client teams

- Provide technical consultation on AI strategy, roadmaps, and implementation approaches

- Ensure the successful delivery of AI projects from conception through production deployment

- Act as the primary technical point of contact for enterprise AI engagements

Team Development & Mentorship:

- Mentor and guide data scientists, ML engineers, and data engineers in technical best practices

- Conduct technical training sessions and knowledge transfer workshops for internal teams

- Review and provide feedback on technical designs, code implementations, and architectural decisions

- Foster a culture of innovation and continuous learning within the AI practice

- Identify skill gaps and recommend training programs for team capability enhancement

- Lead cross-functional collaboration between AI, engineering, and business teams

Strategic Initiatives & Management Collaboration:

- Work closely with senior management to develop and execute Qentelli's AI practice strategy

- Provide technical insights and recommendations for business development and partnership opportunities

- Contribute to go-to-market strategies for AI solutions and service offerings

- Participate in strategic planning sessions and provide technical feasibility assessments

- Drive innovation initiatives and research partnerships with academic institutions and technology vendors

- Support pre-sales activities with technical expertise and solution positioning

Industry Representation & Thought Leadership:

- Represent Qentelli at AI industry conferences, technical forums, and professional events

- Deliver keynote presentations, technical talks, and panel discussions at industry gatherings

- Author technical white papers, blog posts, and thought leadership content on AI trends and best practices

- Build and maintain relationships with AI community leaders, researchers, and technology vendors

- Participate in industry standards committees and AI ethics discussions

- Monitor and analyze emerging AI technologies and their potential business applications

Required Qualifications:

Education & Experience:

- Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or related technical field

- Minimum 10-12 years of experience in data engineering, machine learning, or AI solution development

- 5+ years in senior technical or architectural roles with client-facing responsibilities

- Proven track record of leading large-scale AI/ML implementations in enterprise environments

- Experience with end-to-end ML lifecycle from data collection to model deployment and monitoring

Technical Skills:

- Deep expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.)

- Strong programming skills in Python, R, Scala, or Java with focus on production-quality code

- Extensive experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services

- Proficiency in big data technologies (Spark, Hadoop, Kafka, Databricks, Snowflake)

- Knowledge of containerization and orchestration tools (Docker, Kubernetes, MLflow)

- Experience with data pipeline tools (Airflow, Prefect, Azure Data Factory, etc.)

- Understanding of database systems (SQL, NoSQL, Vector databases, Graph databases)

- Familiarity with generative AI, LLMs, and foundation model architectures

Leadership & Communication Skills:

- Exceptional communication skills with ability to explain complex technical concepts to non-technical stakeholders

- Strong presentation and public speaking abilities for client meetings and industry events

- Demonstrated leadership experience in mentoring technical teams and driving cross-functional initiatives

- Project management experience with Agile/Scrum methodologies and enterprise delivery frameworks

- Strong analytical and problem-solving skills with systems thinking approach

- Experience in consulting or client-services environments with proven client relationship management

Preferred Qualifications:

- Industry certifications in cloud AI/ML platforms (AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer)

- Experience with specific industry domains (healthcare, finance, retail, manufacturing) and their AI applications

- Published research papers, patents, or technical publications in AI/ML field

- Active participation in open-source AI/ML projects and communities

- Speaking experience at technical conferences or industry events

- Knowledge of AI ethics, responsible AI practices, and regulatory compliance (GDPR, CCPA, etc.)

- Experience with edge computing, IoT, and real-time AI applications

- Background in computer vision, NLP, or other specialized AI domains

Key Performance Indicators:

- Successful delivery of AI POCs and their transition to production systems

- Client satisfaction scores and successful renewal of AI engagement contracts

- Team development metrics including skill advancement and retention rates

- Industry recognition through speaking engagements, publications, and thought leadership activities

- Contribution to business growth through technical pre-sales support and solution development

- Innovation metrics including new solution development and technology adoption rates

Reporting Structure & Collaboration:

This position reports directly to the Leadership and works closely with:

- Senior management team on AI strategy and business development initiatives

- Client stakeholders and technical teams across various industries and use cases

- Internal AI/ML engineering teams, data scientists, and software developers

- Sales and business development teams for technical support and solution positioning

- External partners, vendors, and industry experts in the AI ecosystem

What We Offer:

- Competitive salary commensurate with experience and industry standards

- Comprehensive benefits package including health

- Professional development budget for conferences, training, and certification programs

- Opportunity to shape Qentelli's AI practice and work with cutting-edge technologies

- Flexible work arrangements

- Access to latest AI tools, platforms, and research resources

Application Process:

- Candidates should be prepared to demonstrate:

- Portfolio of AI/ML projects and architectural designs

- Examples of client presentations and technical documentation

- References from previous clients/ team members/ industry colleagues

- Technical depth through whiteboard sessions and architecture discussions

- Leadership philosophy and approach to team development and mentorship

- Join Qentelli and help shape the future of AI-driven enterprise solutions while building your career as a recognized thought leader in the artificial intelligence community.

Qentelli is an Equal Opportunity Employer