AI Architect
- For Career Direction
- Work From Home
- 8 to 10 Years
Key Responsibilities
- Identify and prioritize high-impact AI, automation, and analytics innovation use cases aligned to business goals.
- Design end-to-end AI and automation solution architectures balancing feasibility, scalability, and innovation.
- Lead cross-functional innovation pods to deliver PoCs, MVPs, and pilot solutions using agile methodologies.
- Provide technical leadership in Agentic AI, Conversational AI, Generative AI, and enterprise automation initiatives.
- Architect secure, compliant solutions aligned with enterprise architecture, security, and governance standards.
- Drive integration of AI solutions with enterprise platforms (CRM, ERP, ITSM, HR systems) and legacy systems.
- Act as a primary client-facing architect, leading workshops, ideation sessions, and executive demos.
- Define KPIs, success metrics, and contribute to ROI and business case development for innovation initiatives.
- Navigate compliance, data privacy, and regulatory requirements to move solutions from concept to production.
- Mentor junior architects and engineers, promoting innovation best practices and knowledge reuse.
Must-Have Skills
- Strong expertise in AI/ML, including Generative AI, NLP, conversational AI, and AI agent frameworks.
- Hands-on experience designing and deploying AI solutions using cloud platforms (Azure, AWS, or GCP).
- Solid understanding of enterprise architecture principles, cloud-native design, and security best practices.
- Proven experience with system integration using APIs, microservices, ETL pipelines, and middleware.
- Strong knowledge of enterprise platforms such as ServiceNow, Salesforce, Workday, SAP/Oracle, or similar.
- Experience working with compliance frameworks and data security standards (e.g., GDPR, ISO 27001, HIPAA).
- Strong stakeholder communication skills with the ability to translate technical concepts into business value.
- Demonstrated leadership in agile delivery, PoC development, and innovation initiatives.
Good to Have
- Experience with RPA platforms (UiPath, Automation Anywhere) and workflow orchestration tools.
- Familiarity with AI frameworks such as TensorFlow or PyTorch and cloud AI services.
- Knowledge of architecture frameworks (TOGAF or similar).
- Exposure to regulated industries such as healthcare, BFSI, or government.
- Experience building ROI models and scaling successful pilots enterprise-wide.
- Passion for emerging technologies, experimentation, and continuous learning.
About the job
Here, opportunities come in two ways — roles within Career Direction and roles for our client requirements. Most internal positions are Work From Home, providing flexibility, comfort, and a balanced work environment. Client-based roles may require Hybrid or Work From Office setups depending on project demands, collaboration needs, and company policies. This structure allows candidates to explore a wide range of opportunities and apply for roles that best align with their skills, preferences, and long-term career goals.
Career Direction benefits apply only to Career Direction employees and may include health and wellness support, financial wellbeing programs, flexibility and time off, family care assistance, community involvement opportunities, and personal development support. These benefits, along with growth opportunities, are provided based on factors such as performance, dedication, skill level, assessment results, and available projects. Offerings may vary as they depend on organizational policies, project requirements, and client expectations.
Note: Salary range information is omitted as it applies to US-based roles, and compensation details will be discussed during the interview.
