AI Architect

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Market context

Median wage (BLS OEWS)

$116,543 national median

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

AI Architect IN-KA-Bangalore, India (SKAV Seethalakshmi) GESC Position: AI Architect Job Description: A highly skilled and motivated AI Architect for designing, developing, and implementing artificial intelligence (AI) solutions within an organization. The role focuses on leveraging AI & GenAI technologies, machine learning (ML), natural language processing (NLP), computer vision, and predictive analytics to solve complex business problems and drive innovation. The AI Architect bridges the gap between business objectives and technology, ensuring that AI systems align with the organization's strategic goals. What we're looking for: Education : Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Advanced degree preferred. Experience: Minimum of 5 years of experience in AI projects, data science, or a related field. Skills: Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision). Proficiency in programming languages like Python, .Net Strong understanding of cloud technologies (Azure & GCP), APIs, and microservices. Proven experience in managing technical projects, preferably in AI, machine learning, or data-driven technologies. Knowledge of big data processing tools (e.g., Hadoop, Apache Spark). Hands on experience with tools and platforms used in AI development (e.g., Azure AI Foundry, Ollama, DataBricks etc.). Experience in architecting AI Solutions using on premise and Cloud technologies. Experience with agile methodologies and tools (e.g., Jira, Trello) for managing technical projects. Demonstrated ability to manage multiple projects simultaneously and prioritize effectively. Strong problem-solving, analytical, and communication skills. Knowledge of AI ethics and regulatory compliance frameworks. Proficiency with data

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