Birlasoft
Website:
birlasoft.com
Company:
https://www.linkedin.com/company/birlasoft
Seniority: Mid-Senior level
Industries: IT Services and IT Consulting
Job details:
Role Summary
As Pre-Sales Solution Architect for AIOps, Observability, and Agentic AI, you will be the technical anchor for client pursuits across our IT Operations transformation portfolio. You will partner with sales, bid management, and delivery teams to translate client pain points into outcome-driven solutions — architecting AIOps and observability landscapes, embedding Agentic AI into IT operations, and owning the technical solution from RFP response through to delivery handover. You will work OEM-agnostically across Aisera and comparable enterprise AIOps platforms, positioning the right toolset and integration approach for each client environment.
Key Responsibilities
Pursuit & Solutioning
- Lead pre-sales pursuits (RFPs, RFIs, proactive proposals) across AIOps, Service Assurance, Infra & Application Monitoring, Event Management, and Automation/Orchestration — including multi-tower and managed-services deals.
- Architect end-to-end AIOps and observability solutions that ingest, normalize, and correlate high-volume telemetry (metrics, logs, traces, events) across cloud, on-prem, and hybrid estates to reduce client MTTD/MTTR.
- Design and embed Agentic AI solutions — autonomous/multi-agent frameworks, LLM-powered and function-calling agents — into enterprise ITSM and IT/Cloud Operations workflows.
- Conduct technical discovery and value-discovery workshops; convert client SLAs and reliability objectives into measurable SLIs/SLOs.
- Create solution designs, architecture blueprints, effort estimates, scope of work (SoW), and pricing inputs in partnership with sales, bid, finance, and delivery teams.
- Lead OEM/tool evaluations and POCs, balancing features, scale, cost, and integration complexity; leverage OEM partnerships (Aisera, ServiceNow, Dynatrace, Splunk, etc.) for joint pursuits.
- Contribute to order-booking and revenue targets for the pursuit pipeline; review pricing benchmarks and effort-estimation models.
Technical Authority & Delivery Enablement
- Act as the technical SME and trusted advisor in client orals, solution defense, and stakeholder discussions; own objection handling and win-theme alignment.
- Map client requirements into platform capabilities and a clear implementation roadmap.
- Define, build, and present compelling demos and Proof-of-Value (PoV) engagements; maintain reusable demo assets and reference architectures.
- Ensure a clean solution-to-delivery handover — transitioning architecture, scope, and assumptions to project/delivery teams for successful execution.
- Build the practice: develop reusable solution accelerators, estimation models, capability decks, and reference documentation; mentor solution and delivery engineers on AIOps patterns and Agentic AI adoption.
Required Skills & Experience
ITSM, ITOps & Platforms (mandatory)
- 12–15 years in IT across design, engineering, implementation, and pre-sales — with 3+ years in pre-sales/solutioning of AIOps use cases for enterprise/global clients.
- Strong understanding of IT operations, infrastructure management, and application performance monitoring; sound ITIL foundations.
- Hands-on experience with ITSM tooling (ServiceNow preferred) and across enterprise AIOps platforms — Aisera, Moogsoft, BigPanda, ServiceNow ITOM/AIOps, HPE OpsRamp, ScienceLogic.
- Scripting (JavaScript or similar), low-code/no-code platforms, and hands-on REST API integration and automation workflow experience.
Observability, Cloud & DevOps
- Expertise integrating and leveraging data from monitoring/logging/alerting tools — Datadog, Prometheus, Grafana, ELK (Elasticsearch/Logstash/Kibana), Splunk, Nagios, Dynatrace, AppDynamics, New Relic, OpenTelemetry.
- Extensive hands-on experience with at least one major cloud — AWS, Azure, or GCP; working knowledge of containers (Docker, Kubernetes).
- DevOps & SRE practices and tooling — Ansible, Terraform, Jenkins, Helm, CI/CD pipelines.
AI / ML / Agentic AI
- Understanding of ML for IT Operations — anomaly detection, predictive analytics, event correlation, and automated root-cause analysis.
- Generative & Agentic AI fluency: LLMs, embeddings, RAG, prompt engineering, multi-agent/agent-orchestration, and LLM-powered automation (AI workflows / function-calling).
- Knowledge of RPA/Intelligent Automation (UiPath, Automation Anywhere, Blue Prism) is a plus.
Pre-Sales & Consulting Skills (high weightage)
- Proven RFP/proposal ownership, effort estimation, and pricing/benchmarking for large global deals in IT sourcing.
- Ability to drive client and multi-stakeholder discussions, handle objections, and propose workaround solutions.
- Ability to scope pilots/PoVs, document scope/SoW, and drive them to successful completion.
- Outstanding presentation, storytelling, and consultative selling skills across all levels up to C-suite; strong, collaborative team player comfortable in a high-pressure pursuit environment.
Qualifications
- Bachelor’s in Engineering/Technology (mandatory); Master’s (M.S./M.Tech/MBA) preferred.
- ITIL knowledge mandatory, certification desirable; relevant cloud (AWS/Azure/GCP) and platform (ServiceNow, Dynatrace, Splunk) certifications advantageous.
- Willingness to travel for client pursuits.
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